# (Refer Slide Time: 00:02:24 min)

Size: px
Start display at page:

Transcription

1 CAD / CAM Prof. Dr. P. V. Madhusudhan Rao Department of Mechanical Engineering Indian Institute of Technology, Delhi Lecture No. # 9 Parametric Surfaces II So these days, we are discussing the subject of geometric modeling of surfaces and we will continue with our subject. Last time we looked at surface definition in two different ways. One is surfaces of known form like cylindrical surface or planar surface and we also looked at sweep representation of surfaces. Particularly the linearly swept surface and circularly swept surface where surface can be defined by defining two curves. One is a generatrix curve which is swept and the directrix curve which is the direction in which we are sweeping. We will take up two other forms of a definition in this class. (Refer Slide Time: 00:02:24 min) So first is we can extend free from parametric curves which we discussed earlier, the same definitions can be extended to surfaces also. If you recall we discussed parametric cubic curve or Hermite curve, Bezier B_Spline and NURBS curve. So in a similar fashion we can extend the definitions to surfaces. So what we will see is we look at Hermite surface patch. As I said the word patch here basically refers to a surface with fixed boundaries. And just like we had Hermite curve, here too we have three different forms of Hermite patch definition algebraic form, geometric form and n point form or defining a Hermite surface patch which is interpolating a given set of points. So that is another form, similarly a Bezier surface patch. If you recall like a Bezier curve is defined by n+1 control point. So here or you can say a given fixed control points. Now since it is by parametric, you have to give a number of points in both the directions. It need not be m need not be equal to n. I can have for 1

2 example five control points in one direction and four control points in another direction. Same is true with B-Spline surface patch where you define m n points but only thing is the order is defined by separately by giving a value of k as we used in B-Spline curves, here we use two values k and l. And similarly the NURBS surface patch where you not only give control points but also associate weights with this particular thing. So let s look at these forms today. (Refer Slide Time: 00:04:31 min) First is algebraic form of a Hermite patch. Now whenever you say Hermite patch like one of the most standard form here is a bicubic. Since surfaces or you have two parameters, u and w which are standard notations. So if the surface is cubic in both u as well as w then you call it as a bicubic, this is the most common. One can also think of having cubic quartic patch or quartic quartic patch or quatic quintic patch so or cubic quadratic patch. So there can be different versions which are possible and most common version of course is bicubic Hermite patch. If you recall in the algebraic form of parametric cubic curve or Hermite curve, we had x=f (u). there were 4 unknowns. Isn t it? There were 4 algebraic coefficients which could define in the case of xyz, 4 into 3 there were 12 algebraic coefficients. Now if I want to represent x as a function which is a cubic function in u and w, there are 16 possible terms like I have constant term u term, u 3 and u 3 term. Similarly I have constant w, w 2 and w 3, all the combination of this leads to 16 unknown coefficients. So algebraic form x value is represented by these values and we are using coefficients are represented by value with two values which basically represents the power of u and w which is used. x represents that, coefficient belongs to the x similarly I may have a33 y when I am actually representing let s say a y equation for y. So how many algebraic coefficients which one has to provide, in order to completely define a bicubic Hermite patch is... 2

3 No, I have a 16 here for x 16 into 3. So there are total 48 unknown algebraic coefficients which are shown here and you also have a parameter which is u=1. What is missing here is w also. So you have zero w which is also ranging between 0 and 1 which makes it complete definition of this thing. Now it may be difficult to visualize or somebody to design let s say or represent or model a bicubic patch by manipulating these 48 unknowns would be rather difficult because how the shape changes like suppose if I vary one of the 48 algebraic coefficients and if I want to see how the shape changes, I do not have a direct, we can say perception of which coefficient will give me the desired changes etc. So this is not a very standard form of, this is not very you can say commonly used form of a bicubic patch just like we had a Hermite curve where we preferred to use geometric form. So here too you have a bicubic Hermite patch which is in geometric form. (Refer Slide Time: 00:08:12 min) So coming to geometric form, going back to Hermite curves, the curve could be defined by specifying two endpoints. That is start point and end point and the tangent vectors at the two end points which could completely defined the geometric form of a cubic curve. Here just like a curve has a start point and the end point, a parametric surface will have a four corner points, it will have four boundary curves wherever these boundary curves are intersecting you have four corner points. So, one can give these 4 corner points as input. So they are also shown here, 0 0 basically says that this refers to a point where u=0 and w=0. And accordingly you have other four corner points which are given. Then you have 8 tangent vectors because there are 4 tangent vector at 4 corner points which are derivative of u, derivative with respect to u. So this is like if I have x ( u) this is and z u. x u. So at any point I have three components that is x u, y u Similarly I have 4 tangent vectors which represent for the w which are z w. So you have at any particular point, you have 3 x y and z x w, y w and

4 3 coordinates, three of these values and three of the tangent vector with reference to w. and we also use twist vectors which is a second derivative with respect to u and w. These are called as a twist vector. So at every point you have this is also a vector, so I have 3 values of this. Now if I look at how many inputs which i am giving at different places is at every point I have 3 of the coordinates. This vector consists of three components, three of this and three of this. So at every point you are actually giving 12 values and since there are 4 corner points, I have 48 values. So if I give this 48 input values, I can solve the algebraic form and I can get a bicubic Hermite patch which is in the form of a geometric form. (Refer Slide Time: 00:10:47 min) So if you really look at here like here you have 4 boundary curves which are shown here, the opposite curves are shown in one color so you have and 4 curve. At any given point I am specifying 4 vectors. One is the point vector which is x0 y0 z0 or whatever xyz coordinates at that point. This is the tangent vector with reference to u, x u y u z u I think this is w. This is p x y of w, so this is like w w and z and the twist vector. So by giving these values at 4 w corner points, I am completely defining the various surfaces define which is bicubic in nature. So this is you can say a better form than the algebraic form because if I want let s say surface to be have a certain tangential direction at any particular point, I can make it happen or I can also specify twist vectors at corner points. Then the third version of Hermite patch is analogous to the four point form which we use for the Hermite curve that is a parametric cubic curve. What we did is like we took four points in a space and through which I can have a Hermite curve which is interpolating all the four points. One of them is a starting point, other one is an end point but it passes through other points. But only other requirement which we need to fix here is what will be

5 the parametric values for the intermediate points. So one of the forms which we used is suppose if I have 4 points which I call as The first is the starting point and fourth is an endpoint in between there points are given parametric values which are like equi spaced in parameter space. That is u=1 /3 and u=2/3. If I follow the same, if I extend the same definition to bicubic Hermite patch, there are a 16 points given in a space which is these are defined in a order because this is like 4 4 points. (Refer Slide Time: 00:13:06 min) This is a matrix, so I want a curve which passes through all the 16 points. Now this basically can be given, if I specify 16 coordinates that means I have 16 x y and z values total 48 input values. So I have 48 algebraic coefficients, I can solve it and I can also choose 1 / 3 and 2 / 3 as one of the options to define the surface. So you are defining a point which is like p00 and then there is a point which is p0 and 1 /3 where the coordinate values are u = 0 and w = 1/ 3 and accordingly, if I give this matrix I can again solve and I get the 16 point form of this. One of the interesting things about curves and extending them to surfaces is parametric curves can be represented in matrix form. We saw that when we discussed in curve like since it is cubic in u, on one side I have u cube u square u one terms and then there is a coefficient matrix. Now when it comes to surfaces the same coefficient matrix is valid. Only thing is we have to take once as it is, second time a transpose of that and I can represent extend the same matrix definition nothing changes, coefficient matrix remains same. Only thing is now you have instead of having let s say a three matrices which are multiplied to get a curve, you have 5 matrices which will be multiplied to get a surface. So since extension is very straight forward, many of the routines which I develop for curves like when we are writing programs or when I am developing the software for geometric modeling, I

6 can make use of most the concepts for definition of surfaces too. So these are the three you can say more standard forms of a bicubic patch. Coming to Bezier curve we were discussed about Bezier patch. 5 (Refer Slide Time: 00:15:32 min) We discussed about Bezier curves and we also put down equation of cubic, quartic and quintic Bezier curves. If I recall the definition of cubic Bezier curve, I have 4 control points, so which goes from let s say p0 to p0 p1 p2 and p3. And if I want to define let s say xyz coordinates x coordinate has been equation for that has been reproduced here. So this is defined by a binomial coefficient then i have a term which is (1 u) 3-i *u i * xi, similarly for y and z. Now if I am let s say moving to surfaces, surface patches, I can define like cubic, cubic patch which is called as a bicubic patch or cubic quartic patch or cubic quintic patch or any combination of that. So if I am going for let s say bicubic Bezier patch that means I have cubic in both then you have x coordinate which is now function of u and w. Now you have, here you had a summation of how many terms? 4 terms. Here you have a basically a summation of 4 * 4 that is 16 terms. So there are total 16 terms which will come in definition of bicubic patch like I have the same binomial coefficient which was used here like 3 Ci, 1 - u is to the power of this remains same u also remains same but now I also have an additional term which is for other parametric 3 C j (1 w) 3-j *w j. The number of inputs which you are giving here are the 16 that is i goes from 0 to 3, j goes from 0 to 3 so 4 into 4 there are total 16. So how convenient it is to basically extend the definition from let s say curves to surfaces is clearly evident by an example like this and there are many of the properties which are, which we discussed for Bezier curves is also valid for Bezier surfaces like in the case of Bezeir curve, the curve passes through first and last point. In this case the curve passes through four corner points, it doesn t pass through other this thing. And similarly the tangent vectors etc are defined by the points in those subsequent that is adjacent points. Same property is valid here too and other

7 property which we discussed is convex hull property, convex hull property is also valid in the case of Bezier surfaces. 6 And we also discussed that if I take summation of all the coefficients which was unity, here too you have the same concept that the summation of all these things is unity. So most of the properties of Bezier curve which we discussed are also valid for surface only thing is you are giving a matrix of points instead of series of points as it was done. (Refer Slide Time: 00:19:02 min) So these are the 16 control points which form input, we can say 1 1, 1 2, 1 3. order is important I cannot if I change let s say a point from if I put p12 here and p23 here I will get totally a different surface or that is important that was true in the case of curves to the point order was, like here is a simple example of a bicubic Bezier patch which is shown here. (Refer Slide Time: 00:19:27 min)

8 7 So you can see the 16 points which are defined and the curve is only interpolating 4 corner points that is which are there in the 4 corner whereas all the other control points will influence the shape of this particular surface or patch by moving any control points, I can always change the shape of this surface and whereas it doesn t interpolate the points which are given in this case. So this is a typical, a bicubic Bezier patch which is shown here, like I can extend the definition to a Bezier patch which is in m and n. I may have m m control points along the parametric direction u and n in the case of w direction. So the extension is equation changes accordingly and the disadvantages of Bezier curve which we discussed are also valid here is suppose if I define a Bezier patch which is defined by m by n control points. If I change any control point, any of this the shape changes. So you call it as a global propagation of change which is also valid here. Now to overcome this, a better way to do is to use a B-Spline patch which is an extension of a Bezier patch. (Refer Slide Time: 00:21:21 min)

9 So a B-Spline surface patch let s recall the definition. A B-Spline curve is defined by a basically what you call as the B-Spline basis function. We looked at some of these functions and these functions are different for different values of k and i is the total number of control points here is n plus 1 which goes from i=0 n. And when they are multiplied by xi I get this function. we have seen that this is what we call as a non-uniform B-Spline function because these basis functions are uniform in the middle but towards the end they are modified in such a manner that the curve is made to pass through the first and last points which is there and this basis functions can be evaluated using a recursive function which we have also seen. Having known what a B- Spline curve is, knowing a B-Spline surface patch is a trivial. Now you have a surface which is a function of u and w. Now you have a summation of basically a term which are both along u and w. Now I can, it need not be m need not be 8 equal to n, I can take like 10 points along u direction and let s say 15 points along w direction, this is completely our choice. And now you have same basis functions that is Ni,k and Nj,l. This shows that the value of k which we use to select, whether you want a cubic equation or quadratic can be different in both the direction like you can say that it s cubic in u direction whereas I want one order higher or lower in w direction. So that is why you associate another input which is l. So what is the input which I give in order to define a B-Spline surface patch is m+1 into n+1 control points, there xyz values. Other than that I have to supply two values k and l. k and l which will define what is this thing which you are using and I have xi,j which is basically a matrix of points which are defined in this manner. And if I take leave the xi,j and take summation of all these thing, it is still unity. So that property is valid as far as B-Spline surface patches to in this case. But given let s say B-Spline surface patch let s say I choose k and l both to be equal to 4 and let s say I have a large number of m and n points let s say 15 and 20. Then if I change one of the control points, the shape of the surface will be changed locally that means every control point will have some influence locally but it will not change the entire surface. There is no global propagation as it happens in the case of a Bezier surface patch. So because of this B-Spline patches, you can say more common version which is used compared to a Bezier surface patch. (Refer Slide Time: 00:24:59 min)

10 So extending it to the last in this category that is NURBS patch is also straight forward. If we look at what we have is we had only a summation which is a one direction. If you recall the NURBS patch like what is shown here is x=f (u,w). Now in order to define a NURBS surface patch whatever input which we supply for let s say a corresponding B-Spline patch has to be supplied. That is m+ 1 into n+1 control points, also specify what are the like k and l which is the direction but you also specify m+ 1 into n+1 weights which we will define like how the weights also influence the shape of curve not only the control points which are this thing. And, since you take a 9 rational version of this so this is called as a rational B-Spline. And since B-Spline is non uniform because it is made to pass through points, so you call as a non-uniform rational B-Spline. So we can say NURBS patch is something which is more like a standard one can think of it as a standard representation for surfaces when it comes to this. So this is like a typical extension from curves to surfaces. Mathematically there is no change as far as definitions are concerned except that you are adding one more dimension to this particular thing. And as I discussed earlier, instead of extending dimension from let s say 1 to 2, I can do it for three and I can have a Hermite hyper patch which is basically a piece of solid. It s basically a piece of solid which is bounded by 6 free form surfaces. Every point inside a solid can be obtained by giving values of u v w between 0 and 1. And I can extend the definitions to like now suppose if I want specify let s say a tri cubic hyper patch that is what it is called one of the standard form is suppose if I want let s say if I want to specify number of points, so then I will give 64 points. If I want let s say, if I want to specify in a geometric form, you give the 8 corner points. You also give the tangent vectors for this particular thing along u v as well as w because now you have one more dimension. Then you also give, at every point you have to give the 8 values so you give the point. First derivative with respective u v w then you also go for second derivative

11 2 x which is with respective u v w. How many combinations are possible like I can go for u 2 2 x 2 x. So those are the three, how many are over? So I have 7.3 tangent vectors which are w 2 v 2 the first derivative three for second derivative. And the eighth value which I am going to choose 3 x is u v w. So if I give these values, 8 values at every corner point I can also define a geometric form of tri cubic Hermite hyper patch. That is an extension of that. Same is to like I can have Bezier hyper patch, B-Spline hyper patch and NURBS hyper patch. So a very complex solid can be easily represented by like giving definitions like a NURBS hyper patch. But as we discussed earlier, it is not a very convenient way to do that because you have too many inputs and this thing. So a best way to define let s say a complex solid like hyper patch is to just define 6 boundary surfaces and say that it meet certain continuity requirements. So that is the more common version because inside points do not have much this thing like suppose if I want to change the shape of the solid object, inside control points they do participate but they do not have much influence whereas it s the boundary points which are more influential. So you try to use surface form even to define a solid that in order to define let s say a hyper patch, I say here are the 6 boundary surfaces which is an input to define the hyper patch but the definitions can be extended. In fact people try to extend it to a dimension higher than three also. So it s like you can go for one more dimension now that visually it may not be make any meaningful this thing but mathematically it may make some sense. For example I have a solid which is changing its shape continuously. So I have one more variable which is 10 time, so I can have let s say a hyper patch in n dimensions to mathematically represent a solid which is continuously changing its shape that could be one of this thing. In fact there is one version of NURBS surface which is used is just like I associate the weights with a NURBS surface. I can associate many other variables also like suppose I am representing a surface where I have a temperature is varying on this surface like I want to basically input the temperatures also. If I am using a NURBS representation, you not only give the control points, you not only give let s say the points which are like the weights, I have also say that these are the temperature and pressure values. people have try to extend for representing some of the mechanical quantities measurement quantities to be associated with patches but that s not very standard, only a few attempts have been made in that direction. (Refer Slide Time: 00:32:08 min)

12 Now let s come to the last category of defining parametric surfaces like in last class, we have seen that one of the convenient ways to define surfaces is not to give mathematical equations or interpolating points but I give purely boundary curves and by giving the boundary curves also, I can define completely the surfaces. Now among these there are four common, four important versions which we are going to look at. One is a Coons surface patch and the Ferguson patch is another. And most of these definitions have come only in last 50 years like it is only in 60 s when Coons and Ferguson patch was first time defined. And they were use just like Bezier patch then ruled and bilinear surfaces are of special interest, we will look at them also. 11 (Refer Slide Time: 00:33:13 min)

13 Now what is the input which one gives in order to define let s say a Coons patch like I would like to, there are 4 boundary curves of a surface are known. Now I would like to define a surface which interpolates these boundary curves in certain manner. So an input to Coons patch is four boundary curves, I think you may not have seen this kind of definition in any other forms which we discussed earlier. So I am giving one parametric curve which I call as pu0 this means w = constant whereas u is varying from 0 to 1, here to w = constant which is 1 u is varying from 0 to 1. These curves are u is equal to constant curve, u is 0 and w is varying from 0 to 1. Here u =constant that is u = 1 and w is varying from 0 to 1. So if I specify these four boundary curves because sometimes it is easier to define curves rather than surfaces because of the complexity of equations. 12 (Refer Slide Time: 00:34:31 min)

14 If I input these then a Coons patch can defined using a definition like this. So these are the four boundary curves which I have reproduced here. This is basically defined by 3 terms which is called as p1 p2 p3. Let s look at what are these terms. First is a p1, you are taking the two curves which are opposite curves and linearly interpolating. So these are actually u is equal to constant terms, constant curves and you are linearly interpolating these two curves. I take two other curves and linearly interpolate along that and basically add these two terms. So if I add these two, I will get what is called as p1 by p2 but p1 by p2 is not sufficient because if I just add p1 and p2 it actually doesn t meet certain boundary conditions. For example if I try to put u 0 or w 0 and try to get back my original equation, I don t get. So there is some extra information additional information which comes into this which has to be subtracted. That is called as a p3 term, so p3 time is basically a linear interpolation of the corner points which are like p00 p10 because if you really see here the corner points are coming in both the curves. So it s basically it is coming twice. So they has to be, they have to subtracted in order to get that. If I look at this, these are the four boundary point s p00 p10 p0 p1 and they are, this is basically a linear function this is called as a bilinear function. So if this bilinear function is subtracted from let s say the linear interpolation of curves, the surface which is obtained is usually called as a Coons patch. 13 (Refer Slide Time: 00:36:35 min)

15 Let s look at, so that is one of the ways like given a four curves how to do an interpolation first time a proposal was given by person Coons so that s why it is called as Coons patch. There is another variation which was proposed by Ferguson patch, this is first time proposed by a person by name Ferguson. Ferguson patch can be very easily understood if we have, if you know what a geometric form of bicubic Hermite patch. We have already discussed that. What are the inputs which we give in bicubic Hermite patch is four corner points. Tangent vectors with respect to u and w and also twist vectors which are second derivative. If I put twist vector as 0 and keeping all the other inputs are same then this basically gives you a Ferguson patch. So the input here to define let s say the same definition which we had for bicubic Hermite patch is valid here to all that is how much in like the input which you are giving has been reduced. The input which you use to give was like for every point you use to give a 16 values, now you are only giving 12 values because others are 0. And the surface which is obtained is called as a Ferguson patch. Now what is the difference between these two? Suppose is if I take for example a bicubic Hermite patch, it has what you call as c2 continuity. That means you have a continuity which is one order higher than the Ferguson patch. Here the continuity as far as c2 is not maintained, you sacrifice the continuity requirement basically satisfying the c1 continuity. But you also try to simplify the definition because you are not looking about something like second partial derivatives. Even if I have partial derivatives with respect to u and w, I am able to define equation mathematically. So it is basically a simplicity and continuity compromise which gives a difference between a Hermite patch and the Ferguson patch which is shown here. So one of the ways to define a Ferguson patch is take the equation of Hermite patch and substitute 0, I have a new surface which is a Ferguson patch. 14

16 (Refer Slide Time: 00:39:33 min) Then the third form of defining a surface using boundary curves is using what is called as a ruled surface. Ruled surface can be defined in two different ways like in earlier cases whenever we had Coons and Ferguson patches, you are giving all the four boundary curves which were this thing. I think one thing which I forgot to mention is like for example if I take 16 point form of let s say bicubic patch. Isn t it? So if I take 16 point form then there are 16 points which are defined in order to do that but if I take Ferguson patch, I don t require all 16 points. 12 are enough because you are actually not going for that. What are those 12? Basically, whatever are the intermediate points like which are not there on the boundary, you are not trying to define. So it s, you can say that coming back to a ruled surface you have a similar situation here. Instead of let s say defining all the four boundary curves, I am just defining only two boundary curves which are opposite. That means which are either u is equal to constant terms or w is equal to constant curves. And if I have a linear interpolation between the two curves, this linear interpolation gives me a surface which is called as a ruled surface like what is the input for a ruled surface is I give two curves which is w = constant that is w = 0 and w = 1. So this is a parametric in u this is another parametric in u and these two u parametric curves are linearly interpolated along the direction which is w. If I see this equation, if I substitute let s say value like suppose if I put w = 0, I will get this curve. If I put w = 1, I get the other curve. So any curve is basically some kind of a mixture of these two with linearly interpolated between the two. There is alternate way of defining a ruled surface. We looked at when we discussed about sweeping swept surface, you have a generatrix and a directrix. So if I take a very generic curve and sweep it along another curve then I get let s say a generic swept surface. If I reduce one of them to straight line that is generate let s say if I reduce the directrix, if I take a directrix curve and the generatrix curves is a straight line. So if a straight line is swept in a space along certain special curve direction then the area swept 15

17 is also the ruled surface which is obtained in this. If I just change the other way I get linearly swept surface. I can take any curve and if I choose directrix as a straight line. So that s a linearly swept surface. If I just reverse it, I get a ruled surface which is that. Now ruled surfaces are very very popular in many of the design and manufacturing applications. The reason is very simple. The definition is very very simple. Firstly you are defining just two boundary curves and you are linearly interpolating. So mathematical definition is very very simple, this is just like an extending a mathematical parametric representation of a straight line which basically interpolates if I put this as a point this becomes a straight line whereas if I to a curves it becomes a ruled surface. Mathematically very simple, easier to program and easier to compute many of the values. Secondly it also gives you a linear direction. One of the parametric directions is a straight line which is also an advantage you may be aware that this has an advantage in terms of manufacturing applications. When I have to mission this particular surface then I can always take let s say my tool along the linear direction because in any CNC programming you have linear and circular interpolation. If one of the parametric directions becomes line or a circle, generation of CNC programs is easier to write it. So that is one reason why but at the same time it also gives you a very complex geometric form with one direction being a linear direction. Because of this, it s also used in construction work. Suppose if I have to let s say a fabricate or let say construct let s say a roof which has a very complex form, if I choose ruled surface as one of the forms, it s convenient because I can always have a reinforcing elements along the directions which are which you call as a rules, all the ruled directions. So because of this there are many applications which they use ruled surface. In fact these were also used extensively in an aerospace application. When people were looking for free from surfaces, instead of going for let s say a bicubic patch or a Bezier patch where mathematical definitions are little more complex than this. 16

18 (Refer Slide Time: 00:45:36 min) One can restrict the definitions to a simple like ruled surface. If I choose the form in this way like if I look at this ruled surface can be defined, I have one curve which is called as w = zero curve and here which is w is equal to one curve. Parameter u is changing along the curve 0 to 1, parameter is changing. If I just take the corresponding points, for example I take u = 0.5 on this curve and u = 0.5 on the other curve and just joint them by straight line corresponding parameter values, the resulting surface is nothing but ruled surface which is shown here and a special form of ruled surface is what is called as a bilinear surface. Suppose if these curves which are being interpolated are also straight line like I have w =0 curve which is a straight line, w = 1 is also straight line. And you have a linear interpolation of two lines in a space then also you obtain a very complex form of surface which is called as a bilinear surface. As long as these 4 points which are defined are not coplanar, suppose if and 4 points which are use to define a bilinear surface are coplanar then you get basically a plane which is a simple.

19 17 (Refer Slide Time: 00:47:02 min) So a bilinear surface is also called as more common name is hyperbolic paraboloid and the definition is even more simpler than the ruled surface. all that which you need to do in order to define a bilinear surface is to define just four control point sorry, four corner points like u is equal to 0 and w is equal to 0 then u is 1, w is equal to 0 and this is u is 1 and w is equal to 1. If I give 4 corner points, 4 corner points means just 4 into 3 12 values. Given a 12 values, I can define a bilinear surface and a bilinear surface is linear in both u and w. So you will take terms like (1 u)(1 w), we can very clearly see if I substitute u=0 and w=0, I end up at one of the corner points. If I substitute u=1 and w=1, I end up at another corner points. So this is basically probably simplest form of defining a surface mathematically after let s say a definition of a plane. plane may be probably simplest but after that you have, this is one of the simplest form of defining a free form surface is just linearly interpolate four corner points which is called as a bilinear surface.

20 18 (Refer Slide Time: 00:48:43 min) Like, this shows a bilinear surface a typical. So I have 4 corner points which are shown here and what is done is you take the corresponding value of parameter on both the curves and then join them by straight line. though surface looks like a complex but mathematical definition is quite simple like many of the, one of the bilinear surface is one of the common forms chosen for a like big roofs or many of the buildings like the roof which you have an IIT Delhi convocation hall is also a bilinear surface because it s easier to construct. At the same time the curve is really curved in, it s a free form curve it also gives an elegant because curvature is continuously changing from point to point that is principle curvatures. So this is one of the simplest and elegant forms of defining a surface. So this brings basically we can say a completion of our study of surfaces. We looked at four categories, two in our previous class and two in this. Given a particular situation, I can, depending on the situation I can choose any one of these forms we have also seen that one can be converted to another form also. That means many of the standard forms can be represented as swept surface, ruled surface has commonality with sweeping. So there are lots of common things between these surface definitions. And we have also seen that the definitions of which we have given to curves and surfaces can also be extended to solids but we will study mathematical that is geometric modeling of solids in a slightly different way because most of the solids which we use in our day to day life have simple geometries. And we would like to give what we call as a solid modeling techniques. There are three major categories which we will take up when we meet next which will be the subject that is a solid modeling. So one can say that a geometric modeling constitutes study of geometric modeling, two different we can say two different major branches. One is study of curves and surfaces what we did so far and another is study of solids using a solid modeling techniques like boundary representation, constructive solid geometry or special enumeration techniques 19

21 is another this thing. So that would be the subject for our next class. So this is, I will stop it here and if there are questions please raise them out. Is that clear? Then if there are no questions we will stop it here and we will meet next for our lecture on solid model. 20

### Curves and Surfaces Computer Graphics I Lecture 10

15-462 Computer Graphics I Lecture 10 Curves and Surfaces Parametric Representations Cubic Polynomial Forms Hermite Curves Bezier Curves and Surfaces [Angel 10.1-10.6] September 30, 2003 Doug James Carnegie

### Curves and Surfaces Computer Graphics I Lecture 9

15-462 Computer Graphics I Lecture 9 Curves and Surfaces Parametric Representations Cubic Polynomial Forms Hermite Curves Bezier Curves and Surfaces [Angel 10.1-10.6] February 19, 2002 Frank Pfenning Carnegie

### MA 323 Geometric Modelling Course Notes: Day 31 Blended and Ruled Surfaces Coons Patches

MA 323 Geometric Modelling Course Notes: Day 31 Blended and Ruled Surfaces Coons Patches David L. Finn Today, we want to start considering patches that are constructed solely by specifying the edge curves.

### Finite Element Analysis Prof. Dr. B. N. Rao Department of Civil Engineering Indian Institute of Technology, Madras. Lecture - 24

Finite Element Analysis Prof. Dr. B. N. Rao Department of Civil Engineering Indian Institute of Technology, Madras Lecture - 24 So in today s class, we will look at quadrilateral elements; and we will

### (Refer Slide Time: 00:01:27 min)

Computer Aided Design Prof. Dr. Anoop Chawla Department of Mechanical engineering Indian Institute of Technology, Delhi Lecture No. # 01 An Introduction to CAD Today we are basically going to introduce

### Computergrafik. Matthias Zwicker Universität Bern Herbst 2016

Computergrafik Matthias Zwicker Universität Bern Herbst 2016 Today Curves NURBS Surfaces Parametric surfaces Bilinear patch Bicubic Bézier patch Advanced surface modeling 2 Piecewise Bézier curves Each

### The Free-form Surface Modelling System

1. Introduction The Free-form Surface Modelling System Smooth curves and surfaces must be generated in many computer graphics applications. Many real-world objects are inherently smooth (fig.1), and much

### Computergrafik. Matthias Zwicker. Herbst 2010

Computergrafik Matthias Zwicker Universität Bern Herbst 2010 Today Curves NURBS Surfaces Parametric surfaces Bilinear patch Bicubic Bézier patch Advanced surface modeling Piecewise Bézier curves Each segment

### 3D Modeling Parametric Curves & Surfaces. Shandong University Spring 2013

3D Modeling Parametric Curves & Surfaces Shandong University Spring 2013 3D Object Representations Raw data Point cloud Range image Polygon soup Surfaces Mesh Subdivision Parametric Implicit Solids Voxels

### 2D Spline Curves. CS 4620 Lecture 13

2D Spline Curves CS 4620 Lecture 13 2008 Steve Marschner 1 Motivation: smoothness In many applications we need smooth shapes [Boeing] that is, without discontinuities So far we can make things with corners

### 3D Modeling Parametric Curves & Surfaces

3D Modeling Parametric Curves & Surfaces Shandong University Spring 2012 3D Object Representations Raw data Point cloud Range image Polygon soup Solids Voxels BSP tree CSG Sweep Surfaces Mesh Subdivision

### Fall CSCI 420: Computer Graphics. 4.2 Splines. Hao Li.

Fall 2014 CSCI 420: Computer Graphics 4.2 Splines Hao Li http://cs420.hao-li.com 1 Roller coaster Next programming assignment involves creating a 3D roller coaster animation We must model the 3D curve

### Curve Representation ME761A Instructor in Charge Prof. J. Ramkumar Department of Mechanical Engineering, IIT Kanpur

Curve Representation ME761A Instructor in Charge Prof. J. Ramkumar Department of Mechanical Engineering, IIT Kanpur Email: jrkumar@iitk.ac.in Curve representation 1. Wireframe models There are three types

### Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 24 Solid Modelling

Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 24 Solid Modelling Welcome to the lectures on computer graphics. We have

### Splines. Parameterization of a Curve. Curve Representations. Roller coaster. What Do We Need From Curves in Computer Graphics? Modeling Complex Shapes

CSCI 420 Computer Graphics Lecture 8 Splines Jernej Barbic University of Southern California Hermite Splines Bezier Splines Catmull-Rom Splines Other Cubic Splines [Angel Ch 12.4-12.12] Roller coaster

### Computer Graphics Curves and Surfaces. Matthias Teschner

Computer Graphics Curves and Surfaces Matthias Teschner Outline Introduction Polynomial curves Bézier curves Matrix notation Curve subdivision Differential curve properties Piecewise polynomial curves

### Lecture 9: Introduction to Spline Curves

Lecture 9: Introduction to Spline Curves Splines are used in graphics to represent smooth curves and surfaces. They use a small set of control points (knots) and a function that generates a curve through

### LECTURE #6. Geometric Modelling for Engineering Applications. Geometric modeling for engineering applications

LECTURE #6 Geometric modeling for engineering applications Geometric Modelling for Engineering Applications Introduction to modeling Geometric modeling Curve representation Hermite curve Bezier curve B-spline

### Parametric Curves. University of Texas at Austin CS384G - Computer Graphics

Parametric Curves University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell Parametric Representations 3 basic representation strategies: Explicit: y = mx + b Implicit: ax + by + c

### Parametric Curves. University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell

Parametric Curves University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell Parametric Representations 3 basic representation strategies: Explicit: y = mx + b Implicit: ax + by + c

### Finite Element Analysis Prof. Dr. B. N. Rao Department of Civil Engineering Indian Institute of Technology, Madras. Lecture - 36

Finite Element Analysis Prof. Dr. B. N. Rao Department of Civil Engineering Indian Institute of Technology, Madras Lecture - 36 In last class, we have derived element equations for two d elasticity problems

### Fundamentals of Operations Research. Prof. G. Srinivasan. Department of Management Studies. Indian Institute of Technology Madras.

Fundamentals of Operations Research Prof. G. Srinivasan Department of Management Studies Indian Institute of Technology Madras Lecture No # 06 Simplex Algorithm Initialization and Iteration (Refer Slide

### Introduction to Computer Graphics

Introduction to Computer Graphics 2016 Spring National Cheng Kung University Instructors: Min-Chun Hu 胡敏君 Shih-Chin Weng 翁士欽 ( 西基電腦動畫 ) Data Representation Curves and Surfaces Limitations of Polygons Inherently

### Curve and Surface Basics

Curve and Surface Basics Implicit and parametric forms Power basis form Bezier curves Rational Bezier Curves Tensor Product Surfaces ME525x NURBS Curve and Surface Modeling Page 1 Implicit and Parametric

### Design considerations

Curves Design considerations local control of shape design each segment independently smoothness and continuity ability to evaluate derivatives stability small change in input leads to small change in

### Curves and Curved Surfaces. Adapted by FFL from CSE167: Computer Graphics Instructor: Ronen Barzel UCSD, Winter 2006

Curves and Curved Surfaces Adapted by FFL from CSE167: Computer Graphics Instructor: Ronen Barzel UCSD, Winter 2006 Outline for today Summary of Bézier curves Piecewise-cubic curves, B-splines Surface

### Introduction p. 1 What Is Geometric Modeling? p. 1 Computer-aided geometric design Solid modeling Algebraic geometry Computational geometry

Introduction p. 1 What Is Geometric Modeling? p. 1 Computer-aided geometric design Solid modeling Algebraic geometry Computational geometry Representation Ab initio design Rendering Solid modelers Kinematic

### From curves to surfaces. Parametric surfaces and solid modeling. Extrusions. Surfaces of revolution. So far have discussed spline curves in 2D

From curves to surfaces Parametric surfaces and solid modeling CS 465 Lecture 12 2007 Doug James & Steve Marschner 1 So far have discussed spline curves in 2D it turns out that this already provides of

### NURBS: Non-Uniform Rational B-Splines AUI Course Denbigh Starkey

NURBS: Non-Uniform Rational B-Splines AUI Course Denbigh Starkey 1. Background 2 2. Definitions 3 3. Using NURBS to define a circle 4 4. Homogeneous coordinates & control points at infinity 9 5. Constructing

### Sung-Eui Yoon ( 윤성의 )

CS480: Computer Graphics Curves and Surfaces Sung-Eui Yoon ( 윤성의 ) Course URL: http://jupiter.kaist.ac.kr/~sungeui/cg Today s Topics Surface representations Smooth curves Subdivision 2 Smooth Curves and

### 2D Spline Curves. CS 4620 Lecture 18

2D Spline Curves CS 4620 Lecture 18 2014 Steve Marschner 1 Motivation: smoothness In many applications we need smooth shapes that is, without discontinuities So far we can make things with corners (lines,

### Interactive Graphics. Lecture 9: Introduction to Spline Curves. Interactive Graphics Lecture 9: Slide 1

Interactive Graphics Lecture 9: Introduction to Spline Curves Interactive Graphics Lecture 9: Slide 1 Interactive Graphics Lecture 13: Slide 2 Splines The word spline comes from the ship building trade

### Rational Bezier Curves

Rational Bezier Curves Use of homogeneous coordinates Rational spline curve: define a curve in one higher dimension space, project it down on the homogenizing variable Mathematical formulation: n P(u)

### Curves D.A. Forsyth, with slides from John Hart

Curves D.A. Forsyth, with slides from John Hart Central issues in modelling Construct families of curves, surfaces and volumes that can represent common objects usefully; are easy to interact with; interaction

### Bezier Curves, B-Splines, NURBS

Bezier Curves, B-Splines, NURBS Example Application: Font Design and Display Curved objects are everywhere There is always need for: mathematical fidelity high precision artistic freedom and flexibility

### GL9: Engineering Communications. GL9: CAD techniques. Curves Surfaces Solids Techniques

436-105 Engineering Communications GL9:1 GL9: CAD techniques Curves Surfaces Solids Techniques Parametric curves GL9:2 x = a 1 + b 1 u + c 1 u 2 + d 1 u 3 + y = a 2 + b 2 u + c 2 u 2 + d 2 u 3 + z = a

### Until now we have worked with flat entities such as lines and flat polygons. Fit well with graphics hardware Mathematically simple

Curves and surfaces Escaping Flatland Until now we have worked with flat entities such as lines and flat polygons Fit well with graphics hardware Mathematically simple But the world is not composed of

### Design, Computation and Computer Controlled Devices

4.212 Design Fabrication Design, Computation and Computer Controlled Devices Prof. Larry Sass Department of Architecture and Planning MIT LECTURE #4 [1] Designing with Paper [2] Surface Representation

### Curves. Computer Graphics CSE 167 Lecture 11

Curves Computer Graphics CSE 167 Lecture 11 CSE 167: Computer graphics Polynomial Curves Polynomial functions Bézier Curves Drawing Bézier curves Piecewise Bézier curves Based on slides courtesy of Jurgen

### Lecture IV Bézier Curves

Lecture IV Bézier Curves Why Curves? Why Curves? Why Curves? Why Curves? Why Curves? Linear (flat) Curved Easier More pieces Looks ugly Complicated Fewer pieces Looks smooth What is a curve? Intuitively:

### COMPUTER AIDED ENGINEERING DESIGN (BFF2612)

COMPUTER AIDED ENGINEERING DESIGN (BFF2612) BASIC MATHEMATICAL CONCEPTS IN CAED by Dr. Mohd Nizar Mhd Razali Faculty of Manufacturing Engineering mnizar@ump.edu.my COORDINATE SYSTEM y+ y+ z+ z+ x+ RIGHT

### Flank Millable Surface Design with Conical and Barrel Tools

461 Computer-Aided Design and Applications 2008 CAD Solutions, LLC http://www.cadanda.com Flank Millable Surface Design with Conical and Barrel Tools Chenggang Li 1, Sanjeev Bedi 2 and Stephen Mann 3 1

### (Refer Slide Time 04:53)

Programming and Data Structure Dr.P.P.Chakraborty Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Lecture 26 Algorithm Design -1 Having made a preliminary study

### An introduction to interpolation and splines

An introduction to interpolation and splines Kenneth H. Carpenter, EECE KSU November 22, 1999 revised November 20, 2001, April 24, 2002, April 14, 2004 1 Introduction Suppose one wishes to draw a curve

### form. We will see that the parametric form is the most common representation of the curve which is used in most of these cases.

Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 36 Curve Representation Welcome everybody to the lectures on computer graphics.

### Know it. Control points. B Spline surfaces. Implicit surfaces

Know it 15 B Spline Cur 14 13 12 11 Parametric curves Catmull clark subdivision Parametric surfaces Interpolating curves 10 9 8 7 6 5 4 3 2 Control points B Spline surfaces Implicit surfaces Bezier surfaces

### CS-184: Computer Graphics

CS-184: Computer Graphics Lecture #12: Curves and Surfaces Prof. James O Brien University of California, Berkeley V2007-F-12-1.0 Today General curve and surface representations Splines and other polynomial

### Project and Production Management Prof. Arun Kanda Department of Mechanical Engineering Indian Institute of Technology, Delhi

Project and Production Management Prof. Arun Kanda Department of Mechanical Engineering Indian Institute of Technology, Delhi Lecture - 8 Consistency and Redundancy in Project networks In today s lecture

### Central issues in modelling

Central issues in modelling Construct families of curves, surfaces and volumes that can represent common objects usefully; are easy to interact with; interaction includes: manual modelling; fitting to

### Lecture 25: Bezier Subdivision. And he took unto him all these, and divided them in the midst, and laid each piece one against another: Genesis 15:10

Lecture 25: Bezier Subdivision And he took unto him all these, and divided them in the midst, and laid each piece one against another: Genesis 15:10 1. Divide and Conquer If we are going to build useful

### Parametric curves. Brian Curless CSE 457 Spring 2016

Parametric curves Brian Curless CSE 457 Spring 2016 1 Reading Required: Angel 10.1-10.3, 10.5.2, 10.6-10.7, 10.9 Optional Bartels, Beatty, and Barsky. An Introduction to Splines for use in Computer Graphics

### Design and Analysis of Algorithms Prof. Madhavan Mukund Chennai Mathematical Institute. Week 02 Module 06 Lecture - 14 Merge Sort: Analysis

Design and Analysis of Algorithms Prof. Madhavan Mukund Chennai Mathematical Institute Week 02 Module 06 Lecture - 14 Merge Sort: Analysis So, we have seen how to use a divide and conquer strategy, we

### Geometric Modeling Systems

Geometric Modeling Systems Wireframe Modeling use lines/curves and points for 2D or 3D largely replaced by surface and solid models Surface Modeling wireframe information plus surface definitions supports

### Curves and Surfaces 1

Curves and Surfaces 1 Representation of Curves & Surfaces Polygon Meshes Parametric Cubic Curves Parametric Bi-Cubic Surfaces Quadric Surfaces Specialized Modeling Techniques 2 The Teapot 3 Representing

### Parametric curves. Reading. Curves before computers. Mathematical curve representation. CSE 457 Winter Required:

Reading Required: Angel 10.1-10.3, 10.5.2, 10.6-10.7, 10.9 Parametric curves CSE 457 Winter 2014 Optional Bartels, Beatty, and Barsky. An Introduction to Splines for use in Computer Graphics and Geometric

### 15.10 Curve Interpolation using Uniform Cubic B-Spline Curves. CS Dept, UK

1 An analysis of the problem: To get the curve constructed, how many knots are needed? Consider the following case: So, to interpolate (n +1) data points, one needs (n +7) knots,, for a uniform cubic B-spline

### OUTLINE. Quadratic Bezier Curves Cubic Bezier Curves

BEZIER CURVES 1 OUTLINE Introduce types of curves and surfaces Introduce the types of curves Interpolating Hermite Bezier B-spline Quadratic Bezier Curves Cubic Bezier Curves 2 ESCAPING FLATLAND Until

### CSE 167: Introduction to Computer Graphics Lecture #13: Curves. Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2017

CSE 167: Introduction to Computer Graphics Lecture #13: Curves Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2017 Announcements Project 4 due Monday Nov 27 at 2pm Next Tuesday:

### B-spline Curves. Smoother than other curve forms

Curves and Surfaces B-spline Curves These curves are approximating rather than interpolating curves. The curves come close to, but may not actually pass through, the control points. Usually used as multiple,

### Engineering Mechanics Prof. Siva Kumar Department of Civil Engineering Indian Institute of Technology, Madras Statics - 4.3

Engineering Mechanics Prof. Siva Kumar Department of Civil Engineering Indian Institute of Technology, Madras Statics - 4.3 In this case let s say delta B and delta C are the kinematically consistent displacements.

### (Refer Slide Time: 00:04:20)

Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture 8 Three Dimensional Graphics Welcome back all of you to the lectures in Computer

### CSE 167: Introduction to Computer Graphics Lecture 12: Bézier Curves. Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2013

CSE 167: Introduction to Computer Graphics Lecture 12: Bézier Curves Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2013 Announcements Homework assignment 5 due tomorrow, Nov

### Lecture 2.2 Cubic Splines

Lecture. Cubic Splines Cubic Spline The equation for a single parametric cubic spline segment is given by 4 i t Bit t t t i (..) where t and t are the parameter values at the beginning and end of the segment.

### (Refer Slide Time 3:31)

Digital Circuits and Systems Prof. S. Srinivasan Department of Electrical Engineering Indian Institute of Technology Madras Lecture - 5 Logic Simplification In the last lecture we talked about logic functions

### Midterm Exam Fundamentals of Computer Graphics (COMP 557) Thurs. Feb. 19, 2015 Professor Michael Langer

Midterm Exam Fundamentals of Computer Graphics (COMP 557) Thurs. Feb. 19, 2015 Professor Michael Langer The exam consists of 10 questions. There are 2 points per question for a total of 20 points. You

### COMPUTER AIDED GEOMETRIC DESIGN. Thomas W. Sederberg

COMPUTER AIDED GEOMETRIC DESIGN Thomas W. Sederberg January 31, 2011 ii T. W. Sederberg iii Preface This semester is the 24 th time I have taught a course at Brigham Young University titled, Computer Aided

### Representing Curves Part II. Foley & Van Dam, Chapter 11

Representing Curves Part II Foley & Van Dam, Chapter 11 Representing Curves Polynomial Splines Bezier Curves Cardinal Splines Uniform, non rational B-Splines Drawing Curves Applications of Bezier splines

### COMP3421. Global Lighting Part 2: Radiosity

COMP3421 Global Lighting Part 2: Radiosity Recap: Global Lighting The lighting equation we looked at earlier only handled direct lighting from sources: We added an ambient fudge term to account for all

### CS-184: Computer Graphics. Today

CS-84: Computer Graphics Lecture #5: Curves and Surfaces Prof. James O Brien University of California, Berkeley V25F-5-. Today General curve and surface representations Splines and other polynomial bases

### Module 10A Lecture - 20 What is a function? Why use functions Example: power (base, n)

Programming, Data Structures and Algorithms Prof. Shankar Balachandran Department of Computer Science and Engineering Indian Institute of Technology, Madras Module 10A Lecture - 20 What is a function?

### Dgp _ lecture 2. Curves

Dgp _ lecture 2 Curves Questions? This lecture will be asking questions about curves, their Relationship to surfaces, and how they are used and controlled. Topics of discussion will be: Free form Curves

### Intro to Curves Week 4, Lecture 7

CS 430/536 Computer Graphics I Intro to Curves Week 4, Lecture 7 David Breen, William Regli and Maxim Peysakhov Geometric and Intelligent Computing Laboratory Department of Computer Science Drexel University

### 08 - Designing Approximating Curves

08 - Designing Approximating Curves Acknowledgement: Olga Sorkine-Hornung, Alexander Sorkine-Hornung, Ilya Baran Last time Interpolating curves Monomials Lagrange Hermite Different control types Polynomials

### Intro to Curves Week 1, Lecture 2

CS 536 Computer Graphics Intro to Curves Week 1, Lecture 2 David Breen, William Regli and Maxim Peysakhov Department of Computer Science Drexel University Outline Math review Introduction to 2D curves

### Engineering designs today are frequently

Basic CAD Engineering designs today are frequently constructed as mathematical solid models instead of solely as 2D drawings. A solid model is one that represents a shape as a 3D object having mass properties.

### ECE 600, Dr. Farag, Summer 09

ECE 6 Summer29 Course Supplements. Lecture 4 Curves and Surfaces Aly A. Farag University of Louisville Acknowledgements: Help with these slides were provided by Shireen Elhabian A smile is a curve that

### Programming and Data Structure

Programming and Data Structure Dr. P.P.Chakraborty Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Lecture # 09 Problem Decomposition by Recursion - II We will

### MA 323 Geometric Modelling Course Notes: Day 28 Data Fitting to Surfaces

MA 323 Geometric Modelling Course Notes: Day 28 Data Fitting to Surfaces David L. Finn Today, we want to exam interpolation and data fitting problems for surface patches. Our general method is the same,

### Objects 2: Curves & Splines Christian Miller CS Fall 2011

Objects 2: Curves & Splines Christian Miller CS 354 - Fall 2011 Parametric curves Curves that are defined by an equation and a parameter t Usually t [0, 1], and curve is finite Can be discretized at arbitrary

### A Curve Tutorial for Introductory Computer Graphics

A Curve Tutorial for Introductory Computer Graphics Michael Gleicher Department of Computer Sciences University of Wisconsin, Madison October 7, 2003 Note to 559 Students: These notes were put together

### CSE 167: Introduction to Computer Graphics Lecture #11: Bezier Curves. Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2016

CSE 167: Introduction to Computer Graphics Lecture #11: Bezier Curves Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2016 Announcements Project 3 due tomorrow Midterm 2 next

### CS130 : Computer Graphics Curves (cont.) Tamar Shinar Computer Science & Engineering UC Riverside

CS130 : Computer Graphics Curves (cont.) Tamar Shinar Computer Science & Engineering UC Riverside Blending Functions Blending functions are more convenient basis than monomial basis canonical form (monomial

### (Refer Slide Time: 05:25)

Data Structures and Algorithms Dr. Naveen Garg Department of Computer Science and Engineering IIT Delhi Lecture 30 Applications of DFS in Directed Graphs Today we are going to look at more applications

### (Refer Slide Time: 01.26)

Data Structures and Algorithms Dr. Naveen Garg Department of Computer Science and Engineering Indian Institute of Technology, Delhi Lecture # 22 Why Sorting? Today we are going to be looking at sorting.

### Math background. 2D Geometric Transformations. Implicit representations. Explicit representations. Read: CS 4620 Lecture 6

Math background 2D Geometric Transformations CS 4620 Lecture 6 Read: Chapter 2: Miscellaneous Math Chapter 5: Linear Algebra Notation for sets, functions, mappings Linear transformations Matrices Matrix-vector

### Developing an Approach to Redesign Freeform Surfaces Using B-Spline Technique

DOI: http://dx.doi.org/10.30684/etj.36.12a.1 Amjad B. Adulghafour A Department of Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq Amjed_barzan@yahoo.com Ahmed T. Hassan Department

### (Refer Slide Time: 00:51)

Programming, Data Structures and Algorithms Prof. Shankar Balachandran Department of Computer Science and Engineering Indian Institute Technology, Madras Module 10 E Lecture 24 Content Example: factorial

### Kinematics of Machines Prof. A. K. Mallik Department of Mechanical Engineering Indian Institute of Technology, Kanpur. Module - 3 Lecture - 1

Kinematics of Machines Prof. A. K. Mallik Department of Mechanical Engineering Indian Institute of Technology, Kanpur Module - 3 Lecture - 1 In an earlier lecture, we have already mentioned that there

### Almost Curvature Continuous Fitting of B-Spline Surfaces

Journal for Geometry and Graphics Volume 2 (1998), No. 1, 33 43 Almost Curvature Continuous Fitting of B-Spline Surfaces Márta Szilvási-Nagy Department of Geometry, Mathematical Institute, Technical University

### (Refer Slide Time: 02.06)

Data Structures and Algorithms Dr. Naveen Garg Department of Computer Science and Engineering Indian Institute of Technology, Delhi Lecture 27 Depth First Search (DFS) Today we are going to be talking

### Computer Graphics. Curves and Surfaces. Hermite/Bezier Curves, (B-)Splines, and NURBS. By Ulf Assarsson

Computer Graphics Curves and Surfaces Hermite/Bezier Curves, (B-)Splines, and NURBS By Ulf Assarsson Most of the material is originally made by Edward Angel and is adapted to this course by Ulf Assarsson.

### Keyword: Quadratic Bézier Curve, Bisection Algorithm, Biarc, Biarc Method, Hausdorff Distances, Tolerance Band.

Department of Computer Science Approximation Methods for Quadratic Bézier Curve, by Circular Arcs within a Tolerance Band Seminar aus Informatik Univ.-Prof. Dr. Wolfgang Pree Seyed Amir Hossein Siahposhha

### CS 536 Computer Graphics Intro to Curves Week 1, Lecture 2

CS 536 Computer Graphics Intro to Curves Week 1, Lecture 2 David Breen, William Regli and Maxim Peysakhov Department of Computer Science Drexel University 1 Outline Math review Introduction to 2D curves

### (Refer Slide Time: 1:40)

Computer Architecture Prof. Anshul Kumar Department of Computer Science and Engineering, Indian Institute of Technology, Delhi Lecture - 3 Instruction Set Architecture - 1 Today I will start discussion

### Advanced Operations Research Prof. G. Srinivasan Department of Management Studies Indian Institute of Technology, Madras

Advanced Operations Research Prof. G. Srinivasan Department of Management Studies Indian Institute of Technology, Madras Lecture 16 Cutting Plane Algorithm We shall continue the discussion on integer programming,

### Approximation of 3D-Parametric Functions by Bicubic B-spline Functions

International Journal of Mathematical Modelling & Computations Vol. 02, No. 03, 2012, 211-220 Approximation of 3D-Parametric Functions by Bicubic B-spline Functions M. Amirfakhrian a, a Department of Mathematics,

### Interactive Graphics Using Parametric Equations (Day 2)

Interactive Graphics Using Parametric Equations (Day 2) Dr. Niels Lobo Computer Science Bezier Curves Google bezier curves`` Casselman's Bezier curves Andysspline Bezier Curves Bezier Photo: Automotive

### A New Class of Quasi-Cubic Trigonometric Bezier Curve and Surfaces

A New Class of Quasi-Cubic Trigonometric Bezier Curve and Surfaces Mridula Dube 1, Urvashi Mishra 2 1 Department of Mathematics and Computer Science, R.D. University, Jabalpur, Madhya Pradesh, India 2