Digital approximation to extended depth of field in no telecentric imaging systems

Size: px
Start display at page:

Download "Digital approximation to extended depth of field in no telecentric imaging systems"

Transcription

1 Journl of Physics: Conference Series Digitl pproximtion to extended depth of field in no telecentric imging systems To cite this rticle: J E Meneses nd C R Contrers 0 J Phys: Conf Ser View the rticle online for updtes nd enhncements This content ws downloded from IP ddress on 0/0/08 t 04:40

2 XVII Reunión Iberomericn de Óptic & X Encuentro de Óptic, Láseres y Aplicciones IOP Publishing Journl of Physics: Conference Series 74 ( doi:0088/ /74//0040 Digitl pproximtion to extended depth of field in no telecentric imging systems J E Meneses nd C R Contrers Grupo de Óptic y Trtmiento de Señles, Escuel de Físic, Universidd Industril de Sntnder AA 678 Bucrmng Colombi Emil: jimen@uiseduco Abstrct A method used to digitlly extend the depth of field of n imging system consists to move the object of study long the opticl xis of the system nd different imges will contin different res tht re shrp; those imges re stored nd processed digitlly to obtin fused imge, in tht imge will be shrp ll regions of the object The implementtion of this method, lthough widely used, imposes certin experimentl conditions tht should be evluted for to study the degree of vlidity of the imge finl obtined An experimentl condition is relted with the conservtion of the geometric mgnifiction fctor when there is reltive movement between the object nd the observtion system; this implies tht the system must be telecentric, which leds to reduction of the observtion field nd the use of expensive systems if the ppliction includes microscopic observtion This pper presents technique tht mkes possible to extend depth of filed of n imging system non telecentric; this system is used to relize pplictions in Opticl Metrology with systems tht hve gret observtion field Introduction The opticl systems tht re constructed with conventionl lens hve limited depth of field nd only the regions tht re inside of depth of field (DOF will pper in focus in the finl imge Thus the regions of the object surfce tht re out of DOF will pper out of focus on the cquired imge Physicl optics estblishes tht the diffrction pttern dimeter of pupil imging system defines the DOF of the imging system The dimeter of this centrl spot, in experimentl situtions is of the order of tenths of micron, while tht the digitl cmers hve micro-sensor dimensions of some microns Thus, diffrction-relted effects s predicted by physicl optics re not significnt, since the sptil resolution of most sensor rrys is quite below tht of the diffrction limit It implictes tht the geometricl optics defines the depth of field of digitl imging system like CCD or CMOS According to geometricl model of thin lenses, if the sensor plne does not coincide with the focl plne, the imge of punctul object will be circle for circulr pupil of the imging system nd known s circle of confusion The dimeter of the circle confusion is clculted from the prmeters of the opticl system nd the defocus distnce, displcement from sensor plne to focl plne Thus, the PSF cn be pproximted to cylindricl function of brightness constnt, filtering high frequency informtion However, due to lens berrtions, diffrction nd noise, the brightness decreses grdully to brim Frequently is suggested two-dimensionl Gussin function s PSF model of the opticl system In this wy defocused imging system is considered s low pss filtering system Thus blurry imge hve ttenuted informtion of high frequency, without imge detils nd Published under licence by IOP Publishing Ltd

3 XVII Reunión Iberomericn de Óptic & X Encuentro de Óptic, Láseres y Aplicciones IOP Publishing Journl of Physics: Conference Series 74 ( doi:0088/ /74//0040 degrded imge qulity As result, limited DOF poses significnt problem when utomtic nlysis of imges is desired Severl methods hve been proposed to increment DOF of clssicl imging system Bsiclly the increment of the depth of field cn be crry out: ( physiclly djusting the PSF of the opticl system without post-cpture digitl tretment, ( digitlly mking digitl tretment on cquired imges nd (3 combintion of the previous methods: physiclly introducing externl devices to the trditionl systems (pltforms of movement, phse msks, etc nd computtionlly mking restortion opertion through digitl tretments Severl methods hve been proposed to extended-dof [-7] A method used frequently nd used in the most commercil systems with E-DOF consists in to cquire severl imges for severl positions on the opticl xis Thus if N imges of m n pixels hs been cquired, ech pixel hs n intensity vector of N vlues corresponding to N different xil positions In order to extrct the intensity vlue corresponding to focused xil position for ech pixel, function or mthemticl criterion must be defined to evlute the focus qulity, clled focus mesure Severl methods hve been proposed to define the focus mesure (locl vrince, grdient, wvelet trnsform, Fourier trnsform, etc All of them rely on the fct tht focused imge hs high contents of higher frequencies with higher locl vritions of intensity vlues Thus, for ech pixel the focus mesure (FM is evluted nd the intensity tht produces the mximum vlue of FM is extrcted nd used to generte fused imge with E-DOF The procedure described bove for E-DOF imposes the condition tht the N intensity vlues correspond to the sme surfce point nd imged in the sme pixel ( i, j for ech xil position Thus, if the imging system is non-telecentric, the mgnifiction fctor chnges nd the surfce point is imged in different pixels ccording to the xil position Additionlly lterl displcement in the perpendiculr direction of the opticl xis produces the sme problem: Intensity vector for pixel ( i, j does not correspond to the sme surfce point on the object In this work we propose new method to Extended DOF for non-telecentric imging system The focus mesure of specific pixel is evluted using the Tenengrd method with the pproprited correction in order to reduce the non-telecentric influence A mthemticl correction is proposed to extrct from ech imge the coordintes in pixels tht correspond to the sme surfce point E-DOF for non-telecentric system Figure shows the imges of surfce point projected by non-telecentric system In the figure P xyz,, +Δ z the imges of these points pper hs coordintes ( xyz,, while P hs coordintes ( locted in x nd x respectively; P nd P correspond to sme surfce point for two xil positions The reltive displcement in the xil direction between object nd opticl system is Δ z It is evident the problem becuse the system is non-telecentric: the sme surfce point locted on the object hs two different positions in the imge spce, these points re x nd x respectively The solution of this problem is to find the corrected pixel position in ech cquired imges which corresponds to the sme surfce point nd it is used to evlute the FM In the non-telecentric condition the lterl displcement between x nd x depends on opticl system prmeters, object distnce nd z vlue of surfce point A mthemticl structure is proposed in order to eliminte the z vlue influence using first order pproximtion in the compute of x - x distnce From figure cn be deduced tht, vx x = u xtnθ ( Now for x, tht is the position of the point P in the imge spce, is obtined,

4 XVII Reunión Iberomericn de Óptic & X Encuentro de Óptic, Láseres y Aplicciones IOP Publishing Journl of Physics: Conference Series 74 ( doi:0088/ /74//0040 x vx u x tn θ Δ z ( Figure Imging for no telecentric system Generlly cn be demonstrted tht for the nth movement Δ z, is obtined, uvx x n = uv n Δ z x + v ( ( tnθ uvy y n = uv n Δ z x + v ( ( tnθ (3 (4 The equtions (3 nd (4 enble to clculte the coordintes in the imge spce of specific surfce point for ech cquired imge in non-telecentric system The problem lies in these equtions is the influence of unknown vlues z nd θ However if is tke into ccount the pproximtion θ θ nd tht θ = θ (see figure, then, x x tn θ, = z +Δ z x x= ztn θ, (5 (6 x θ = (7 u tn It is possible to express x in terms of opticl system prmeters, 3

5 XVII Reunión Iberomericn de Óptic & X Encuentro de Óptic, Láseres y Aplicciones IOP Publishing Journl of Physics: Conference Series 74 ( doi:0088/ /74//0040 Δz x = x + u (8 Moreover it is tking into ccount tht x = x, is obtin tht, u v vx Δz x = + u u (9 The eqution (9 cn be generlized s follows, vx Δz xn = ( n u + (0 Similrly for the Y coordinte, vy Δz yn = ( n u + ( vx vy However tking into ccount tht x = nd y = ; the equtions (3 nd (4 cn be expressed u u s ( Δz xn = x + n, ( nd ( Δz yn = y + n (3 The equtions ( nd (3 enble to clculte the position of specific pixel for ech imge cquired for non-telecentric system knowing Δ z 3 Experimentl evlution In order to evlute the proposed equtions non-telecentric imging system ws implemented A FUJINON HF35HA-B objective of focl distnce 35 mm nd f 6 ws used in CCD cmer ivc500 (640 pixels 480 pixels, 65 μ m 65 μ m A trnsltion stge of 0 μ m precision ws used to generte the reltive displcement between object nd CCD cmer An integrted circuit ws used s test object A set of 9 imges with Δ z = 050 mm ws cquired Figure shows the cquired imge for z = 000 mm Figure 3 shows the fused imge E-DOF procedure using the Tenengrd method with 5 pixels 5 pixels window to clculte the focus mesure From visul nlysis it is pprecited tht the fused imge qulity is poor becuse it does not consider tht specific pixel does not hs the sme position in ech cquired imge In the centrl zone of the imge the influence of non-telecentric condition is pprecibly smller thn exterior zone: The fused imge is severely degrded in the exterior zone Figure 4 shows the fused imge using the proposed method with the Tenengrd focus mesure for 4

6 XVII Reunión Iberomericn de Óptic & X Encuentro de Óptic, Láseres y Aplicciones IOP Publishing Journl of Physics: Conference Series 74 ( doi:0088/ /74//0040 window size of 5 pixels 5 pixels From visul nlysis it is evident tht the qulity imge is ugmented becuse equtions ( nd (3 correct the lterl displcement introduce by the nontelecentric condition Figure Acquired imge for z = 000 mm Figure 3 Extended depth of field imge using the Tenengrd method Figure 4 Extended depth of field imge using the proposed method From the E-DOF procedure it is possible to compute the xil position tht hs the mximum vlue of the FM This vlue is relted to 3D informtion of surfce object Figure 5 shows the tridimensionl 5

7 XVII Reunión Iberomericn de Óptic & X Encuentro de Óptic, Láseres y Aplicciones IOP Publishing Journl of Physics: Conference Series 74 ( doi:0088/ /74//0040 reconstruction The z vlue is obtined by using the nth position of the mximum focus mesure for xy, pixel of the imge ech ( Figure 5 Tridimensionl reconstruction 4 Conclusions In this pper hs been proposed method (bsed in the first order pproximtion tht enbles to extend the depth of field of non-telecentric imging system A non-telecentric imging system hs been designed nd implemented in order to evlute the performnce of proposed method The results obtined show tht this method enbles to extend the depth of field of non telecentric imging system It is showed tht is necessry to know certin opticl prmeters of the system Additionlly, it is possible to obtin tridimensionl informtion of the study object References [] R J Pieper nd A Korpel, Imge processing for extended depth of field, Appl Opt, (983 [] S A Sugimoto nd Y Ichiok, Digitl composition of imges with incresed depth of focus considering depth informtion, Appl Opt 4, (985 [3] S C Tucker, W T Cthey, nd E R Dowsky, Jr, Extended depth of field nd berrtion control for inexpensive digitl microscope systems, Opt Express 4, (999 [4] A G Vldecss, D Mrshll, J M Becerr, nd J J Terrero, On the extended depth of focus lgorithms for bright field microscopy, Micron 3, (00 [5] B Forster, D vn de Ville, J Berent, D Sge, nd M Unser, Complex wvelet for extended depth of field: new method for the fusion of multichnnel microscopy imges, Microsc Res nd Tech 65, 33-4 (004 [6] A Cstro, nd J Ojed-Cstñed, Asymmetric phse msk for extended depth of field, Appl Opt 43, (004 [7] J Meneses, M A Surez, J Brg, nd T Ghrbi, Extended depth of field using shpeletbsed imge nlysis, Appl Opt 47, (008 6

Analysis of Computed Diffraction Pattern Diagram for Measuring Yarn Twist Angle

Analysis of Computed Diffraction Pattern Diagram for Measuring Yarn Twist Angle Textiles nd Light ndustril Science nd Technology (TLST) Volume 3, 2014 DO: 10.14355/tlist.2014.0301.01 http://www.tlist-journl.org Anlysis of Computed Diffrction Pttern Digrm for Mesuring Yrn Twist Angle

More information

CHAPTER III IMAGE DEWARPING (CALIBRATION) PROCEDURE

CHAPTER III IMAGE DEWARPING (CALIBRATION) PROCEDURE CHAPTER III IMAGE DEWARPING (CALIBRATION) PROCEDURE 3.1 Scheimpflug Configurtion nd Perspective Distortion Scheimpflug criterion were found out to be the best lyout configurtion for Stereoscopic PIV, becuse

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3..1 Single slit diffrction ves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. e will consider this lter. Tke

More information

The Nature of Light. Light is a propagating electromagnetic waves

The Nature of Light. Light is a propagating electromagnetic waves The Nture of Light Light is propgting electromgnetic wves Index of Refrction n: In mterils, light intercts with toms/molecules nd trvels slower thn it cn in vcuum, e.g., vwter The opticl property of trnsprent

More information

GENERATING ORTHOIMAGES FOR CLOSE-RANGE OBJECTS BY AUTOMATICALLY DETECTING BREAKLINES

GENERATING ORTHOIMAGES FOR CLOSE-RANGE OBJECTS BY AUTOMATICALLY DETECTING BREAKLINES GENEATING OTHOIMAGES FO CLOSE-ANGE OBJECTS BY AUTOMATICALLY DETECTING BEAKLINES Efstrtios Stylinidis 1, Lzros Sechidis 1, Petros Ptis 1, Spiros Sptls 2 Aristotle University of Thessloniki 1 Deprtment of

More information

Complete Coverage Path Planning of Mobile Robot Based on Dynamic Programming Algorithm Peng Zhou, Zhong-min Wang, Zhen-nan Li, Yang Li

Complete Coverage Path Planning of Mobile Robot Based on Dynamic Programming Algorithm Peng Zhou, Zhong-min Wang, Zhen-nan Li, Yang Li 2nd Interntionl Conference on Electronic & Mechnicl Engineering nd Informtion Technology (EMEIT-212) Complete Coverge Pth Plnning of Mobile Robot Bsed on Dynmic Progrmming Algorithm Peng Zhou, Zhong-min

More information

Tilt-Sensing with Kionix MEMS Accelerometers

Tilt-Sensing with Kionix MEMS Accelerometers Tilt-Sensing with Kionix MEMS Accelerometers Introduction Tilt/Inclintion sensing is common ppliction for low-g ccelerometers. This ppliction note describes how to use Kionix MEMS low-g ccelerometers to

More information

International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016)

International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016) \ Interntionl Conference on Mechnics, Mterils nd tructurl Engineering (ICMME 2016) Reserch on the Method to Clibrte tructure Prmeters of Line tructured Light Vision ensor Mingng Niu1,, Kngnin Zho1, b,

More information

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork MA1008 Clculus nd Liner Algebr for Engineers Course Notes for Section B Stephen Wills Deprtment of Mthemtics University College Cork s.wills@ucc.ie http://euclid.ucc.ie/pges/stff/wills/teching/m1008/ma1008.html

More information

On the Detection of Step Edges in Algorithms Based on Gradient Vector Analysis

On the Detection of Step Edges in Algorithms Based on Gradient Vector Analysis On the Detection of Step Edges in Algorithms Bsed on Grdient Vector Anlysis A. Lrr6, E. Montseny Computer Engineering Dept. Universitt Rovir i Virgili Crreter de Slou sin 43006 Trrgon, Spin Emil: lrre@etse.urv.es

More information

A Fast Imaging Algorithm for Near Field SAR

A Fast Imaging Algorithm for Near Field SAR Journl of Computing nd Electronic Informtion Mngement ISSN: 2413-1660 A Fst Imging Algorithm for Ner Field SAR Guoping Chen, Lin Zhng, * College of Optoelectronic Engineering, Chongqing University of Posts

More information

OPTICS. (b) 3 3. (d) (c) , A small piece

OPTICS. (b) 3 3. (d) (c) , A small piece AQB-07-P-106 641. If the refrctive indices of crown glss for red, yellow nd violet colours re 1.5140, 1.5170 nd 1.518 respectively nd for flint glss re 1.644, 1.6499 nd 1.685 respectively, then the dispersive

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3.5.1 Single slit diffrction Wves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. We will consider this lter.

More information

Model of the Human Eye Based on ABCD Matrix

Model of the Human Eye Based on ABCD Matrix Model of the Humn Eye Bsed on ABCD Mtrix G. Díz González nd M. Dvid Iturbe Cstillo Cittion: AIP Conf. Proc. 992, 108 (2008); doi: 10.1063/1.2926797 View online: http://dx.doi.org/10.1063/1.2926797 View

More information

Power Transmittance of a Laterally Shifted Gaussian Beam through a Circular Aperture

Power Transmittance of a Laterally Shifted Gaussian Beam through a Circular Aperture Poer Trnsmittnce of Lterlly Shifted Gussin Bem through Circulr Aperture Triq Shmim Khj 1 nd Syed Azer Rez 1 1. Deprtment of Electricl Engineering, Lhore University of Mngement Sciences, DHA, Lhore 5479,

More information

An Integrated Simulation System for Human Factors Study

An Integrated Simulation System for Human Factors Study An Integrted Simultion System for Humn Fctors Study Ying Wng, Wei Zhng Deprtment of Industril Engineering, Tsinghu University, Beijing 100084, Chin Foud Bennis, Dmien Chblt IRCCyN, Ecole Centrle de Nntes,

More information

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1.

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1. Answer on Question #5692, Physics, Optics Stte slient fetures of single slit Frunhofer diffrction pttern. The slit is verticl nd illuminted by point source. Also, obtin n expression for intensity distribution

More information

USING HOUGH TRANSFORM IN LINE EXTRACTION

USING HOUGH TRANSFORM IN LINE EXTRACTION Stylinidis, Efstrtios USING HOUGH TRANSFORM IN LINE EXTRACTION Efstrtios STYLIANIDIS, Petros PATIAS The Aristotle University of Thessloniki, Deprtment of Cdstre Photogrmmetry nd Crtogrphy Univ. Box 473,

More information

IMAGE QUALITY OPTIMIZATION BASED ON WAVELET FILTER DESIGN AND WAVELET DECOMPOSITION IN JPEG2000. Do Quan and Yo-Sung Ho

IMAGE QUALITY OPTIMIZATION BASED ON WAVELET FILTER DESIGN AND WAVELET DECOMPOSITION IN JPEG2000. Do Quan and Yo-Sung Ho IMAGE QUALITY OPTIMIZATIO BASED O WAVELET FILTER DESIG AD WAVELET DECOMPOSITIO I JPEG2000 Do Qun nd Yo-Sung Ho School of Informtion & Mechtronics Gwngju Institute of Science nd Technology (GIST) 26 Cheomdn-gwgiro

More information

Stained Glass Design. Teaching Goals:

Stained Glass Design. Teaching Goals: Stined Glss Design Time required 45-90 minutes Teching Gols: 1. Students pply grphic methods to design vrious shpes on the plne.. Students pply geometric trnsformtions of grphs of functions in order to

More information

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve.

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve. Line Integrls The ide of line integrl is very similr to tht of single integrls. If the function f(x) is bove the x-xis on the intervl [, b], then the integrl of f(x) over [, b] is the re under f over the

More information

Topics in Analytic Geometry

Topics in Analytic Geometry Nme Chpter 10 Topics in Anltic Geometr Section 10.1 Lines Objective: In this lesson ou lerned how to find the inclintion of line, the ngle between two lines, nd the distnce between point nd line. Importnt

More information

L. Yaroslavsky. Fundamentals of Digital Image Processing. Course

L. Yaroslavsky. Fundamentals of Digital Image Processing. Course L. Yroslvsky. Fundmentls of Digitl Imge Processing. Course 0555.330 Lecture. Imge enhncement.. Imge enhncement s n imge processing tsk. Clssifiction of imge enhncement methods Imge enhncement is processing

More information

2. What are the types of diffraction and give the differences between them? (June 2005, June 2011)

2. What are the types of diffraction and give the differences between them? (June 2005, June 2011) UNIT-1 b DIFFRACTION Diffrction:A) Distinction between Fresnel nd Frunhofer diffrction, B) diffrction due to single slit, N-slits,C) Diffrction grting experiment. 1 A) Distinction between Fresnel nd Frunhofer

More information

MATH 2530: WORKSHEET 7. x 2 y dz dy dx =

MATH 2530: WORKSHEET 7. x 2 y dz dy dx = MATH 253: WORKSHT 7 () Wrm-up: () Review: polr coordintes, integrls involving polr coordintes, triple Riemnn sums, triple integrls, the pplictions of triple integrls (especilly to volume), nd cylindricl

More information

Math 35 Review Sheet, Spring 2014

Math 35 Review Sheet, Spring 2014 Mth 35 Review heet, pring 2014 For the finl exm, do ny 12 of the 15 questions in 3 hours. They re worth 8 points ech, mking 96, with 4 more points for netness! Put ll your work nd nswers in the provided

More information

50 AMC LECTURES Lecture 2 Analytic Geometry Distance and Lines. can be calculated by the following formula:

50 AMC LECTURES Lecture 2 Analytic Geometry Distance and Lines. can be calculated by the following formula: 5 AMC LECTURES Lecture Anlytic Geometry Distnce nd Lines BASIC KNOWLEDGE. Distnce formul The distnce (d) between two points P ( x, y) nd P ( x, y) cn be clculted by the following formul: d ( x y () x )

More information

HOPC: A NOVEL SIMILARITY METRIC BASED ON GEOMETRIC STRUCTURAL PROPERTIES FOR MULTI-MODAL REMOTE SENSING IMAGE MATCHING

HOPC: A NOVEL SIMILARITY METRIC BASED ON GEOMETRIC STRUCTURAL PROPERTIES FOR MULTI-MODAL REMOTE SENSING IMAGE MATCHING ISPRS Annls of the Photogrmmetry, Remote Sensing nd Sptil Informtion Sciences, Volume III-1, 216 XXIII ISPRS Congress, 12 19 July 216, Prgue, Czech Republic : A NOVEL SILARITY METRIC BASED ON GEOMETRIC

More information

Chapter 2 Sensitivity Analysis: Differential Calculus of Models

Chapter 2 Sensitivity Analysis: Differential Calculus of Models Chpter 2 Sensitivity Anlysis: Differentil Clculus of Models Abstrct Models in remote sensing nd in science nd engineering, in generl re, essentilly, functions of discrete model input prmeters, nd/or functionls

More information

Surfaces. Differential Geometry Lia Vas

Surfaces. Differential Geometry Lia Vas Differentil Geometry Li Vs Surfces When studying curves, we studied how the curve twisted nd turned in spce. We now turn to surfces, two-dimensionl objects in three-dimensionl spce nd exmine how the concept

More information

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1):

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1): Overview (): Before We Begin Administrtive detils Review some questions to consider Winter 2006 Imge Enhncement in the Sptil Domin: Bsics of Sptil Filtering, Smoothing Sptil Filters, Order Sttistics Filters

More information

Geometric transformations

Geometric transformations Geometric trnsformtions Computer Grphics Some slides re bsed on Shy Shlom slides from TAU mn n n m m T A,,,,,, 2 1 2 22 12 1 21 11 Rows become columns nd columns become rows nm n n m m A,,,,,, 1 1 2 22

More information

A Study on Eye Gaze Estimation Method Based on Cornea Model of Human Eye

A Study on Eye Gaze Estimation Method Based on Cornea Model of Human Eye A Study on Eye Gze Estimtion Method Bsed on Corne Model of Humn Eye Eui Chul Lee 1 nd Kng Ryoung Prk 2 1 Dept. of Computer Science, Sngmyung University, 7 Hongji-dong, Jongro-Ku, Seoul, Republic of Kore

More information

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it.

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it. 6.3 Volumes Just s re is lwys positive, so is volume nd our ttitudes towrds finding it. Let s review how to find the volume of regulr geometric prism, tht is, 3-dimensionl oject with two regulr fces seprted

More information

Class-XI Mathematics Conic Sections Chapter-11 Chapter Notes Key Concepts

Class-XI Mathematics Conic Sections Chapter-11 Chapter Notes Key Concepts Clss-XI Mthemtics Conic Sections Chpter-11 Chpter Notes Key Concepts 1. Let be fixed verticl line nd m be nother line intersecting it t fixed point V nd inclined to it t nd ngle On rotting the line m round

More information

The Distributed Data Access Schemes in Lambda Grid Networks

The Distributed Data Access Schemes in Lambda Grid Networks The Distributed Dt Access Schemes in Lmbd Grid Networks Ryot Usui, Hiroyuki Miygi, Yutk Arkw, Storu Okmoto, nd Noki Ymnk Grdute School of Science for Open nd Environmentl Systems, Keio University, Jpn

More information

Modeling and Simulation of Short Range 3D Triangulation-Based Laser Scanning System

Modeling and Simulation of Short Range 3D Triangulation-Based Laser Scanning System Modeling nd Simultion of Short Rnge 3D Tringultion-Bsed Lser Scnning System Theodor Borngiu Anmri Dogr Alexndru Dumitrche April 14, 2008 Abstrct In this pper, simultion environment for short rnge 3D lser

More information

Chapter Spline Method of Interpolation More Examples Electrical Engineering

Chapter Spline Method of Interpolation More Examples Electrical Engineering Chpter. Spline Method of Interpoltion More Exmples Electricl Engineering Exmple Thermistors re used to mesure the temperture of bodies. Thermistors re bsed on mterils chnge in resistnce with temperture.

More information

Statistical classification of spatial relationships among mathematical symbols

Statistical classification of spatial relationships among mathematical symbols 2009 10th Interntionl Conference on Document Anlysis nd Recognition Sttisticl clssifiction of sptil reltionships mong mthemticl symbols Wl Aly, Seiichi Uchid Deprtment of Intelligent Systems, Kyushu University

More information

Physics 152. Diffraction. Difrraction Gratings. Announcements. Friday, February 2, 2007

Physics 152. Diffraction. Difrraction Gratings. Announcements. Friday, February 2, 2007 ics Fri Feb.02. Announcements Diffrction Difrrction Grtings Fridy, Februry 2, 2007 Help sessions: W 9-10 pm in NSC 118 Msteringics WU #5 due Mondy WU #6 due Wednesdy http://www.voltnet.com/ldder/ A bem

More information

II. THE ALGORITHM. A. Depth Map Processing

II. THE ALGORITHM. A. Depth Map Processing Lerning Plnr Geometric Scene Context Using Stereo Vision Pul G. Bumstrck, Bryn D. Brudevold, nd Pul D. Reynolds {pbumstrck,brynb,pulr2}@stnford.edu CS229 Finl Project Report December 15, 2006 Abstrct A

More information

Section 10.4 Hyperbolas

Section 10.4 Hyperbolas 66 Section 10.4 Hyperbols Objective : Definition of hyperbol & hyperbols centered t (0, 0). The third type of conic we will study is the hyperbol. It is defined in the sme mnner tht we defined the prbol

More information

INTRODUCTION TO SIMPLICIAL COMPLEXES

INTRODUCTION TO SIMPLICIAL COMPLEXES INTRODUCTION TO SIMPLICIAL COMPLEXES CASEY KELLEHER AND ALESSANDRA PANTANO 0.1. Introduction. In this ctivity set we re going to introduce notion from Algebric Topology clled simplicil homology. The min

More information

A REINFORCEMENT LEARNING APPROACH TO SCHEDULING DUAL-ARMED CLUSTER TOOLS WITH TIME VARIATIONS

A REINFORCEMENT LEARNING APPROACH TO SCHEDULING DUAL-ARMED CLUSTER TOOLS WITH TIME VARIATIONS A REINFORCEMENT LEARNING APPROACH TO SCHEDULING DUAL-ARMED CLUSTER TOOLS WITH TIME VARIATIONS Ji-Eun Roh (), Te-Eog Lee (b) (),(b) Deprtment of Industril nd Systems Engineering, Kore Advnced Institute

More information

PNC NC code PROGRAMMER'S MANUAL

PNC NC code PROGRAMMER'S MANUAL PNC-3200 NC code PROGRAMMER'S MANUAL Thnk you very much for purchsing the PNC-3200. To ensure correct nd sfe usge with full understnding of this product's performnce, plese be sure to red through this

More information

Engineer To Engineer Note

Engineer To Engineer Note Engineer To Engineer Note EE-186 Technicl Notes on using Anlog Devices' DSP components nd development tools Contct our technicl support by phone: (800) ANALOG-D or e-mil: dsp.support@nlog.com Or visit

More information

CKX-CCSW Confluency checker INSTRUCTIONS. Software for research/education This software is designed to use in research and or education fields.

CKX-CCSW Confluency checker INSTRUCTIONS. Software for research/education This software is designed to use in research and or education fields. INSTRUCTIONS Confluency checker NOTE: This instruction mnul is for the Olympus confluency checker. To ensure the sfety, obtin optimum performnce nd to fmilirize yourself fully with the use of this softwre,

More information

Computing offsets of freeform curves using quadratic trigonometric splines

Computing offsets of freeform curves using quadratic trigonometric splines Computing offsets of freeform curves using qudrtic trigonometric splines JIULONG GU, JAE-DEUK YUN, YOONG-HO JUNG*, TAE-GYEONG KIM,JEONG-WOON LEE, BONG-JUN KIM School of Mechnicl Engineering Pusn Ntionl

More information

Optimization of Air Bearing Slider Design

Optimization of Air Bearing Slider Design Proceedings of TC2005 orld Tribology Congress III Proceedings of TC2005 September 2-6, orld 2005, Tribology shington, Congress D.C., III SA September 2-6, 2005, shington, D.C., SA Optimiztion of Air Bering

More information

SURFACE TEXTURE MEASUREMENT BY COMPUTER VISION. Y.J. Chao, C. Lee, M.A. Sutton, and W.H. Peters

SURFACE TEXTURE MEASUREMENT BY COMPUTER VISION. Y.J. Chao, C. Lee, M.A. Sutton, and W.H. Peters SURFAC TXTUR MASURMNT BY COMPUTR VSON SURFAC TXTUR MASURMNT BY COMPUTR VSON YJ Cho, C Lee, MA Sutton, nd WH Peters YJ Cho, C Lee, MA Sutton, nd WH Peters Assistnt Professor, Grdute Student, Assistnt Professor

More information

Extension of the compressed interferometric particle sizing technique for three component velocity measurements

Extension of the compressed interferometric particle sizing technique for three component velocity measurements Lison, Portugl, -9 June, Extension of the compressed interferometric prticle sizing technique for three component velocity mesurements Disuke Sugimoto 1, Konstntinos Zrogoulidis, Ttsuy Kwguchi 3, Kzuki

More information

Pre-Filtering Low-Cost Inertial Measuring Unit using a Wavelet Thresholding De-noising for IMU/GPS Integration

Pre-Filtering Low-Cost Inertial Measuring Unit using a Wavelet Thresholding De-noising for IMU/GPS Integration ISG & ISPRS 11, Sept. 7-9, 11 Shh Alm, MALAYSIA Pre-Filtering Low-Cost Inertil Mesuring Unit using Wvelet Thresholding De-noising for IMU/GPS Integrtion Elkhidir T. Y. 1 & Shuhimi M. 1, Mus T. A., A. Stti

More information

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012 Mth 464 Fll 2012 Notes on Mrginl nd Conditionl Densities klin@mth.rizon.edu October 18, 2012 Mrginl densities. Suppose you hve 3 continuous rndom vribles X, Y, nd Z, with joint density f(x,y,z. The mrginl

More information

Parallel Square and Cube Computations

Parallel Square and Cube Computations Prllel Squre nd Cube Computtions Albert A. Liddicot nd Michel J. Flynn Computer Systems Lbortory, Deprtment of Electricl Engineering Stnford University Gtes Building 5 Serr Mll, Stnford, CA 945, USA liddicot@stnford.edu

More information

Paracatadioptric Camera Calibration Using Lines

Paracatadioptric Camera Calibration Using Lines Prctdioptric Cmer Clibrtion Using Lines Joo P Brreto, Helder Arujo Institute of Systems nd Robotics - Dept of Electricl nd Computer Engineering University of Coimbr, Coimbr, Portugl Abstrct Prctdioptric

More information

Paracatadioptric Camera Calibration Using Lines

Paracatadioptric Camera Calibration Using Lines Prctdioptric Cmer Clibrtion Using Lines Joo P Brreto, Helder Arujo Institute of Systems nd Robotics - Dept of Electricl nd Computer Engineering University of Coimbr, 33 Coimbr, Portugl Abstrct Prctdioptric

More information

Automated Stereo Camera Calibration System

Automated Stereo Camera Calibration System Automted Stereo Cmer Clibrtion System Brin J O Kennedy, Ben Herbst Deprtment of Electronic Engineering, niversity of Stellenbosch, Stellenbosch, 7, South Afric, brokenn@dspsuncz, herbst@ibissuncz Abstrct

More information

Chapter 2. 3/28/2004 H133 Spring

Chapter 2. 3/28/2004 H133 Spring Chpter 2 Newton believe tht light ws me up of smll prticles. This point ws ebte by scientists for mny yers n it ws not until the 1800 s when series of experiments emonstrte wve nture of light. (But be

More information

B. Definition: The volume of a solid of known integrable cross-section area A(x) from x = a

B. Definition: The volume of a solid of known integrable cross-section area A(x) from x = a Mth 176 Clculus Sec. 6.: Volume I. Volume By Slicing A. Introduction We will e trying to find the volume of solid shped using the sum of cross section res times width. We will e driving towrd developing

More information

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1 Mth 33 Volume Stewrt 5.2 Geometry of integrls. In this section, we will lern how to compute volumes using integrls defined by slice nlysis. First, we recll from Clculus I how to compute res. Given the

More information

Yoplait with Areas and Volumes

Yoplait with Areas and Volumes Yoplit with Ares nd Volumes Yoplit yogurt comes in two differently shped continers. One is truncted cone nd the other is n ellipticl cylinder (see photos below). In this exercise, you will determine the

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION Supplementry Figure y (m) x (m) prllel perpendiculr Distnce (m) Bird Stndrd devition for distnce (m) c 6 prllel perpendiculr 4 doi:.8/nture99 SUPPLEMENTARY FIGURE Confirmtion tht movement within the flock

More information

3 Talk to Us First. Reasons You Should. Non-Contact Temperature Measurement Solutions

3 Talk to Us First. Reasons You Should. Non-Contact Temperature Measurement Solutions 3 Tlk to Us First Resons You Should Non-Contct Temperture Mesurement Solutions Reson # 1 Fixed System Spot Thermometers FACTS Verstile technologies re must for the ever expnding list of pplictions Lnd

More information

Solutions to Math 41 Final Exam December 12, 2011

Solutions to Math 41 Final Exam December 12, 2011 Solutions to Mth Finl Em December,. ( points) Find ech of the following its, with justifiction. If there is n infinite it, then eplin whether it is or. ( ) / ln() () (5 points) First we compute the it:

More information

9.1 apply the distance and midpoint formulas

9.1 apply the distance and midpoint formulas 9.1 pply the distnce nd midpoint formuls DISTANCE FORMULA MIDPOINT FORMULA To find the midpoint between two points x, y nd x y 1 1,, we Exmple 1: Find the distnce between the two points. Then, find the

More information

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES)

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) Numbers nd Opertions, Algebr, nd Functions 45. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) In sequence of terms involving eponentil growth, which the testing service lso clls geometric

More information

2 Computing all Intersections of a Set of Segments Line Segment Intersection

2 Computing all Intersections of a Set of Segments Line Segment Intersection 15-451/651: Design & Anlysis of Algorithms Novemer 14, 2016 Lecture #21 Sweep-Line nd Segment Intersection lst chnged: Novemer 8, 2017 1 Preliminries The sweep-line prdigm is very powerful lgorithmic design

More information

Math 17 - Review. Review for Chapter 12

Math 17 - Review. Review for Chapter 12 Mth 17 - eview Ying Wu eview for hpter 12 1. Given prmetric plnr curve x = f(t), y = g(t), where t b, how to eliminte the prmeter? (Use substitutions, or use trigonometry identities, etc). How to prmeterize

More information

Illumination and Shading

Illumination and Shading Illumintion nd hding In order to produce relistic imges, we must simulte the ppernce of surfces under vrious lighting conditions. Illumintion models: given the illumintion incident t point on surfce, wht

More information

Presentation Martin Randers

Presentation Martin Randers Presenttion Mrtin Rnders Outline Introduction Algorithms Implementtion nd experiments Memory consumption Summry Introduction Introduction Evolution of species cn e modelled in trees Trees consist of nodes

More information

Cone Cluster Labeling for Support Vector Clustering

Cone Cluster Labeling for Support Vector Clustering Cone Cluster Lbeling for Support Vector Clustering Sei-Hyung Lee Deprtment of Computer Science University of Msschusetts Lowell MA 1854, U.S.A. slee@cs.uml.edu Kren M. Dniels Deprtment of Computer Science

More information

A HYDRAULIC SIMULATOR FOR AN EXCAVATOR

A HYDRAULIC SIMULATOR FOR AN EXCAVATOR P-06 Proceedings of the 7th JFPS Interntionl Symposium on Fluid Power TOYAMA 008 September 5-8 008 A HYDRAULIC SIMULATOR FOR AN EXCAVATOR Soon-Kwng Kwon* Je-Jun Kim* Young-Mn Jung* Chn-Se Jung* Chng-Don

More information

Ray surface intersections

Ray surface intersections Ry surfce intersections Some primitives Finite primitives: polygons spheres, cylinders, cones prts of generl qudrics Infinite primitives: plnes infinite cylinders nd cones generl qudrics A finite primitive

More information

Hyperbolas. Definition of Hyperbola

Hyperbolas. Definition of Hyperbola CHAT Pre-Clculus Hyperols The third type of conic is clled hyperol. For n ellipse, the sum of the distnces from the foci nd point on the ellipse is fixed numer. For hyperol, the difference of the distnces

More information

Integration. September 28, 2017

Integration. September 28, 2017 Integrtion September 8, 7 Introduction We hve lerned in previous chpter on how to do the differentition. It is conventionl in mthemtics tht we re supposed to lern bout the integrtion s well. As you my

More information

Measurement of the dynamic deformation of a high frequency scanning mirror using a Shack-Hartmann wavefront sensor

Measurement of the dynamic deformation of a high frequency scanning mirror using a Shack-Hartmann wavefront sensor Mesurement of the dynmic deformtion of high frequency scnning mirror using Shck-Hrtmnn wvefront sensor * b** b Mrgret Brown, Timothy Gong, Dniel R. Nel, Jmes Roller, Selso Lunv nd Hkn Urey Inc., 19910

More information

About the Finite Element Analysis for Beam-Hinged Frame. Duan Jin1,a, Li Yun-gui1

About the Finite Element Analysis for Beam-Hinged Frame. Duan Jin1,a, Li Yun-gui1 Advnces in Engineering Reserch (AER), volume 143 6th Interntionl Conference on Energy nd Environmentl Protection (ICEEP 2017) About the Finite Element Anlysis for Bem-Hinged Frme Dun Jin1,, Li Yun-gui1

More information

Rigid Body Transformations

Rigid Body Transformations igid od Kinemtics igid od Trnsformtions Vij Kumr igid od Kinemtics emrk out Nottion Vectors,,, u, v, p, q, Potentil for Confusion! Mtrices,, C, g, h, igid od Kinemtics The vector nd its skew smmetric mtri

More information

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties, Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

MATH 25 CLASS 5 NOTES, SEP

MATH 25 CLASS 5 NOTES, SEP MATH 25 CLASS 5 NOTES, SEP 30 2011 Contents 1. A brief diversion: reltively prime numbers 1 2. Lest common multiples 3 3. Finding ll solutions to x + by = c 4 Quick links to definitions/theorems Euclid

More information

A TRIANGULAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Attia Mousa 1 and Eng. Salah M. Tayeh 2

A TRIANGULAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Attia Mousa 1 and Eng. Salah M. Tayeh 2 A TRIANGLAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Atti Mous nd Eng. Slh M. Teh ABSTRACT In the present pper the strin-bsed pproch is pplied to develop new tringulr finite element

More information

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers Mth Modeling Lecture 4: Lgrnge Multipliers Pge 4452 Mthemticl Modeling Lecture 4: Lgrnge Multipliers Lgrnge multipliers re high powered mthemticl technique to find the mximum nd minimum of multidimensionl

More information

International Journal of Mechanical Engineering and Applications

International Journal of Mechanical Engineering and Applications Interntionl Journl of Mechnicl Engineering nd Applictions 203; (2) : 28-33 Published online My 30, 203 (http://www.sciencepublishinggroup.com/j/ijme) doi: 0.648/j.ijme.203002. Evlution of intensity of

More information

Progressive Transmission of Textured Graphic Model Over IP Networks

Progressive Transmission of Textured Graphic Model Over IP Networks Progressive Trnsmission of Textured Grphic Model Over IP Networks. Reserch Tem Project Leder: Other Fculty: Post Doc(s): Grdute Students: Undergrdute Students: Industril Prtner(s): Prof. C.-C. Jy Kuo,

More information

Revisiting the notion of Origin-Destination Traffic Matrix of the Hosts that are attached to a Switched Local Area Network

Revisiting the notion of Origin-Destination Traffic Matrix of the Hosts that are attached to a Switched Local Area Network Interntionl Journl of Distributed nd Prllel Systems (IJDPS) Vol., No.6, November 0 Revisiting the notion of Origin-Destintion Trffic Mtrix of the Hosts tht re ttched to Switched Locl Are Network Mondy

More information

Ultra-short pulse propagation in complex optical systems

Ultra-short pulse propagation in complex optical systems Ultr-short pulse propgtion in complex opticl systems Ulrike Fuchs, Uwe D. Zeitner nd Andres Tünnermnn* Frunhofer-Institut für Angewndte Optik und Feinmechnik, Albert-Einstein-Str. 7, D-07745 Jen, Germny

More information

CHAPTER 5 Spline Approximation of Functions and Data

CHAPTER 5 Spline Approximation of Functions and Data CHAPTER 5 Spline Approximtion of Functions nd Dt This chpter introduces number of methods for obtining spline pproximtions to given functions, or more precisely, to dt obtined by smpling function. In Section

More information

COLOUR IMAGE MATCHING FOR DTM GENERATION AND HOUSE EXTRACTION

COLOUR IMAGE MATCHING FOR DTM GENERATION AND HOUSE EXTRACTION Hee Ju Prk OLOUR IMAGE MATHING FOR DTM GENERATION AND HOUSE EXTRATION Hee Ju PARK, Petr ZINMMERMANN * Swiss Federl Institute of Technology, Zuric Switzerlnd Institute for Geodesy nd Photogrmmetry heeju@ns.shingu-c.c.kr

More information

15. 3D-Reconstruction from Vanishing Points

15. 3D-Reconstruction from Vanishing Points 15. 3D-Reconstruction from Vnishing Points Christin B.U. Perwss 1 nd Jon Lseny 2 1 Cvendish Lortory, Cmridge 2 C. U. Engineering Deprtment, Cmridge 15.1 Introduction 3D-reconstruction is currently n ctive

More information

Out of Focus Blur Estimation Using Genetic Algorithm

Out of Focus Blur Estimation Using Genetic Algorithm Journl of Computer Science 4 (4): 98-304, 008 ISSN 1549-3636 008 Science Pulictions Out of Focus Blur Estimtion Using Genetic Algorithm Mohsen Erhimi Moghddm Deprtment of Electricl nd Computer Engineering,

More information

It is recommended to change the limits of integration while doing a substitution.

It is recommended to change the limits of integration while doing a substitution. MAT 21 eptember 7, 216 Review Indrjit Jn. Generl Tips It is recommended to chnge the limits of integrtion while doing substitution. First write the min formul (eg. centroid, moment of inerti, mss, work

More information

Vulnerability Analysis of Electric Power Communication Network. Yucong Wu

Vulnerability Analysis of Electric Power Communication Network. Yucong Wu 2nd Interntionl Conference on Advnces in Mechnicl Engineering nd Industril Informtics (AMEII 2016 Vulnerbility Anlysis of Electric Power Communiction Network Yucong Wu Deprtment of Telecommunictions Engineering,

More information

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have Rndom Numers nd Monte Crlo Methods Rndom Numer Methods The integrtion methods discussed so fr ll re sed upon mking polynomil pproximtions to the integrnd. Another clss of numericl methods relies upon using

More information

File Manager Quick Reference Guide. June Prepared for the Mayo Clinic Enterprise Kahua Deployment

File Manager Quick Reference Guide. June Prepared for the Mayo Clinic Enterprise Kahua Deployment File Mnger Quick Reference Guide June 2018 Prepred for the Myo Clinic Enterprise Khu Deployment NVIGTION IN FILE MNGER To nvigte in File Mnger, users will mke use of the left pne to nvigte nd further pnes

More information

x )Scales are the reciprocal of each other. e

x )Scales are the reciprocal of each other. e 9. Reciprocls A Complete Slide Rule Mnul - eville W Young Chpter 9 Further Applictions of the LL scles The LL (e x ) scles nd the corresponding LL 0 (e -x or Exmple : 0.244 4.. Set the hir line over 4.

More information

Fourier domain optical coherence tomography with an 800µm diameter axicon lens for long-depth-range probing

Fourier domain optical coherence tomography with an 800µm diameter axicon lens for long-depth-range probing Fourier domin opticl coherence tomogrphy with n 800µm dimeter xicon lens for long-depth-rnge probing Kye-Sung Lee 1, Chuck Koehler, Eric G. Johnson, nd Jnnick P. Rollnd College of Optics nd Photonics:

More information

6.2 Volumes of Revolution: The Disk Method

6.2 Volumes of Revolution: The Disk Method mth ppliction: volumes by disks: volume prt ii 6 6 Volumes of Revolution: The Disk Method One of the simplest pplictions of integrtion (Theorem 6) nd the ccumultion process is to determine so-clled volumes

More information

Research on Digital Library Personalized Information Service Model Based on Agent Model

Research on Digital Library Personalized Information Service Model Based on Agent Model Reserch on Digitl Librry Personlized Informtion Service Model Bsed on Model Xu Yn Xi n Physicl Eduction University Xi n, Shnxi, Chin, 710068 guilinxuyn@yhoo.com.cn Journl of Digitl Informtion Mngement

More information

Lecture 5: Spatial Analysis Algorithms

Lecture 5: Spatial Analysis Algorithms Lecture 5: Sptil Algorithms GEOG 49: Advnced GIS Sptil Anlsis Algorithms Bsis of much of GIS nlsis tod Mnipultion of mp coordintes Bsed on Eucliden coordinte geometr http://stronom.swin.edu.u/~pbourke/geometr/

More information

Graphing Conic Sections

Graphing Conic Sections Grphing Conic Sections Definition of Circle Set of ll points in plne tht re n equl distnce, clled the rdius, from fixed point in tht plne, clled the center. Grphing Circle (x h) 2 + (y k) 2 = r 2 where

More information