Illustrative Rendering in Team Fortress 2
|
|
- Marian Small
- 6 years ago
- Views:
Transcription
1 Illutatve Rendeng n Team Fote 2 Jaon Mtchell Moby Fancke Dhabh Eng 2007 Valve Copoaton. All Rght Reeved.
2 Outlne Motvaton and elated wok Envonment Chaacte and nteactve hadng Futue wok 2007 Valve Copoaton. All Rght Reeved.
3 Team Fote 2 Cla-baed multplaye combat game whch wll be eleaed th fall Unque vual tyle Dffeentaton - multplaye combat game tend to embace a contempoay photoealtc look Gameplay -Team Fote ha alway featued catoonh, ove-the-top tuaton Readablty - Cla dffeentaton the coe of Team Fote 2, hence we needed to be able to clealy dffeentate clae vually 2007 Valve Copoaton. All Rght Reeved.
4 Envonment Degn Pncple Value contat Smple fom No unnecealy off-klte hape Mnmze vual noe Textue and geometc Mnmze epetton 2007 Valve Copoaton. All Rght Reeved.
5 Contatng Team Popete Red Wam colo Natual mateal Angula geomety Blue Cool colo Indutal mateal Othogonal fom 2007 Valve Copoaton. All Rght Reeved.
6 Blue bae n 2fot map 2007 Valve Copoaton. All Rght Reeved.
7 Red bae n 2fot map 2007 Valve Copoaton. All Rght Reeved.
8 Wold Rendeng Photoealtc technque fom ou othe game Radoty-geneated lght map Specal effect uch a eflecton and efacton Hand-panted textue wth mnmal noe, appled dectly to 3D geomety Looe detal wth vble buh toke Inheent oldty and fame-to-fame coheence Hold up unde magnfcaton bette than photoefeence Buh toke appea n pepectve, not n the 2D mage plane [Myazak02] Hgh fequency detal n photoealtc game can ovepowe degn Colo Palette 2007 Valve Copoaton. All Rght Reeved.
9 Myazak Buh Wdth Foehotened Can ealy magne a 3D camea move between thee 2D vew of the ame pace 2007 Valve Copoaton. All Rght Reeved. Backgound plate fom Spted Away
10 Neutal Entte Vaaton n hue and atuaton ae ued to dffeentate neutal entte n the game wold A hue othe than ed o blue ceate daocaton fom ethe team colo Inceaed atuaton make thee mpotant entte tand out n the deatuated envonment Equally benefcal o dangeou to ethe team Benefcal geen / cyan health pckup Dangeou yellow tan yad gate 2007 Valve Copoaton. All Rght Reeved.
11 2007 Valve Copoaton. All Rght Reeved.
12 Chaacte Degn Goal Ealy vble agant envonment Chaacte mut be eadable quckly by othe playe Communcate hape va hadng and lhouette unde all lghtng condton 2007 Valve Copoaton. All Rght Reeved.
13 Gooch, 1998 Hue and lumnance hft ndcate uface oentaton elatve to lght Blend between wam and cool baed upon unclamped Lambetan tem, undelyng albedo and ome fee paamete Exteme lght and dak ae eeved fo edge lne and hghlght Conventonal Shadng Gooch Shadng ( ) ( ) ( ) nˆ lˆ + k + α k + 1 nˆ lˆ + ( k + βk ) blue d yellow d 2007 Valve Copoaton. All Rght Reeved.
14 Lake, 2000 Lake ued a 1D textue lookup baed upon the Lambetan tem to mulate the lmted colo palette catoont ue fo pantng cel Alo allow fo the ncluon of a vew-ndependent peudo pecula hghlght by ncludng a mall numbe of bght texel at the lt end of the 1D textue map N L 2007 Valve Copoaton. All Rght Reeved.
15 Bala, 2006 Bala ha extended th technque by ung a 2D textue lookup to ncopoate vew-dependent and level-of-detal effect. Fenel-lke ceate a had vtual backlght whch eentally a m-lghtng tem, though th tem not degned to coepond to any patcula lghtng envonment. N V N V N L N L 2007 Valve Copoaton. All Rght Reeved.
16 Ealy 20th Centuy Commecal Illutaton Choe to adopt pecfc conventon of the commecal llutato J. C. Leyendecke: Shadng obey a wam-to-cool hue hft. Shadow go to cool, not black Satuaton nceae at the temnato wth epect to a gven lght ouce. The temnato often eddened. On chaacte, nteo detal uch a clothng fold ae choen to echo lhouette hape Slhouette ae often emphazed wth m hghlght athe than dak outlne 2007 Valve Copoaton. All Rght Reeved.
17 Rm Hghlght Red Temnato J.C. Leyendecke J.C. Leyendecke Aow colla advetement, 1929 Swmmn Hole, Valve Copoaton. All Rght Reeved.
18 Clothng Fold J.C. Leyendecke Thankgvng Valve Copoaton. All Rght Reeved. J.C. Leyendecke Tally-Ho, 1930
19 Engnee Concept 2007 Valve Copoaton. All Rght Reeved.
20 Rm Hghlghtng: Befoe 2007 Valve Copoaton. All Rght Reeved.
21 Rm Hghlghtng: Afte 2007 Valve Copoaton. All Rght Reeved.
22 Playe mut be able to quckly dentfy othe playe by team, cla and elected weapon at a vaety of dtance and vewpont We thnk of th n tem of a vual ead heachy Degn Goal Team Fend o Foe? Colo Cla Run o Attack? Dtnctve lhouette Body popoton Weapon Shoe, hat and clothng fold Selected weapon What he packn? Hghet contat at chet level, whee weapon held Gadent fom dak feet to lght chet Colo Palette 2007 Valve Copoaton. All Rght Reeved.
23 Chaacte Lghtng Equaton Vew ndependent k d a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + + =1 L =1 [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Vew-dependent 2007 Valve Copoaton. All Rght Reeved.
24 k d Vew Independent Tem a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent 2007 Valve Copoaton. All Rght Reeved.
25 k d Vew Independent Tem a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent Modfed Lambetan tem 2007 Valve Copoaton. All Rght Reeved.
26 k d Vew Independent Tem a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent Modfed Lambetan tem Unclamped Lambetan tem 2007 Valve Copoaton. All Rght Reeved.
27 k d Vew Independent Tem a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent Modfed Lambetan tem Unclamped Lambetan tem Scale, ba and exponent 2007 Valve Copoaton. All Rght Reeved.
28 Vew Independent Tem k d a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent Modfed Lambetan tem Unclamped Lambetan tem Scale, ba and exponent Wapng functon Albedo 1 2 ( nˆ lˆ ) Valve Copoaton. All Rght Reeved.
29 k d Vew Independent Tem a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent Modfed Lambetan tem Unclamped Lambetan tem Scale, ba and exponent Wapng functon 2007 Valve Copoaton. All Rght Reeved.
30 k d Vew Independent Tem a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent Modfed Lambetan tem Unclamped Lambetan tem Scale, ba and exponent Wapng functon Albedo 2007 Valve Copoaton. All Rght Reeved.
31 k d Vew Independent Tem a L ( ) ( ( ) ) + γ nˆ c w α nˆ lˆ β + =1 Spatally-vayng dectonal ambent Modfed Lambetan tem Unclamped Lambetan tem Scale, ba and exponent Wapng functon Albedo 2007 Valve Copoaton. All Rght Reeved.
32 Ambent Cube Gound chaacte n game wold Pe-compute adance ample thoughout the envonment Vaable denty adance volume [Gege98] whee each ample defne an adance envonment map [Ramamooth01] Dectonal ambent tem whch nclude only ndect lght Lght beyond the ft fou can be added to the ambent cube Ued n a novel way n m lghtng, whch we ll dcu n a moment Dectonal Ambent Contant Ambent 2007 Valve Copoaton. All Rght Reeved.
33 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) 2007 Valve Copoaton. All Rght Reeved.
34 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght 2007 Valve Copoaton. All Rght Reeved.
35 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent 2007 Valve Copoaton. All Rght Reeved.
36 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) 2007 Valve Copoaton. All Rght Reeved.
37 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem 2007 Valve Copoaton. All Rght Reeved.
38 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) Valve Copoaton. All Rght Reeved.
39 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue 2007 Valve Copoaton. All Rght Reeved.
40 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue 2007 Valve Copoaton. All Rght Reeved.
41 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue 2007 Valve Copoaton. All Rght Reeved.
42 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue 2007 Valve Copoaton. All Rght Reeved.
43 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue 2007 Valve Copoaton. All Rght Reeved.
44 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue Dedcated m lghtng a(v) Dectonal ambent evaluated wth v 2007 Valve Copoaton. All Rght Reeved.
45 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue Dedcated m lghtng a(v) Dectonal ambent evaluated wth v k ame m mak 2007 Valve Copoaton. All Rght Reeved.
46 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue Dedcated m lghtng a(v) Dectonal ambent evaluated wth v k ame m mak f ame m Fenel 2007 Valve Copoaton. All Rght Reeved.
47 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue Dedcated m lghtng a(v) Dectonal ambent evaluated wth v k ame m mak f ame m Fenel n u tem that make m hghlght tend to come fom above (u up vecto) 2007 Valve Copoaton. All Rght Reeved.
48 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue Dedcated m lghtng a(v) Dectonal ambent evaluated wth v k ame m mak f ame m Fenel n u tem that make m hghlght tend to come fom above (u up vecto) 2007 Valve Copoaton. All Rght Reeved.
49 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue Dedcated m lghtng a(v) Dectonal ambent evaluated wth v k ame m mak f ame m Fenel n u tem that make m hghlght tend to come fom above (u up vecto) 2007 Valve Copoaton. All Rght Reeved.
50 L =1 Vew-dependent Tem [ c k max( f ( vˆ ˆ ) k f k ( v ) )] pec, ˆ ˆ k m + ( nˆ uˆ ) f k a( vˆ ) Multple Phong tem pe lght k m boad, contant exponent k pec exponent (contant o textue) f att tuned Fenel tem f m Fenel tem, (1-(n v)) 4 k m mak textue k pecula mak textue Dedcated m lghtng a(v) Dectonal ambent evaluated wth v k ame m mak f ame m Fenel n u tem that make m hghlght tend to come fom above (u up vecto) 2007 Valve Copoaton. All Rght Reeved.
51 Futue Wok Moe flexble pecula Anotopc hghlght [Hedch98] [Gooch98] 2007 Valve Copoaton. All Rght Reeved. [Hedch98]
52 Futue Wok Moe flexble pecula Anotopc hghlght [Hedch98] [Gooch98] 2007 Valve Copoaton. All Rght Reeved. [Gooch98]
53 Futue Wok Moe flexble pecula Anotopc hghlght [Hedch98] [Gooch98] Shapng hghlght [Anjyo03] [Anjyo03] 2007 Valve Copoaton. All Rght Reeved.
54 Futue Wok Moe flexble pecula Anotopc hghlght [Hedch98] [Gooch98] Shapng hghlght [Anjyo03] Moe elable m tem 2007 Valve Copoaton. All Rght Reeved.
55 Futue Wok Moe flexble pecula Anotopc hghlght [Hedch98] [Gooch98] Shapng hghlght [Anjyo03] Moe elable m tem Image-pace contat enhancement [Luft06] 2007 Valve Copoaton. All Rght Reeved. [Luft06]
56 Futue Wok Moe flexble pecula Anotopc hghlght [Hedch98] [Gooch98] Shapng hghlght [Anjyo03] Moe elable m tem Image-pace contat enhancement [Luft06] Abtacted hadow [DeCoo07] [DeCoo07] 2007 Valve Copoaton. All Rght Reeved.
57 Concluon Motvaton and elated wok Envonment Chaacte and nteactve hadng Futue wok 2007 Valve Copoaton. All Rght Reeved.
Stylization with a Purpose The Illustrative World of Team Fortress 2. Jason Mitchell
Stylzaton wth a Pupose The Illustatve Wold of Team Fotess 2 Jason Mtchell Outlne Hstoy of Team Fotess Chaactes At decton Shadng algothms Envonments Meet the Team Post-shp Sneak Peek of the next Meet the
More informationFUNDAMENTALS OF RADIOMETRY
1 FUNDAMENTALS OF RADIOMETRY Lectue 5 Radomety 2 Quanttatve measuement of the popetes of EM adaton nteacton wth matte o emsson fom t Radomety deals wth total EM adaton We extend the concept of adans n
More informationRefraction Ray Normal
Ray Nomal wave cests θ Bounday θ θ θ less dense, n1 moe dense, n2 (>n1) Moe Smply: θ θ Note: (Lght) Rays bend towads the nomal when gong fom a egon of low ndex of efacton to a egon of hgh ndex of efacton
More informationColor in OpenGL Polygonal Shading Light Source in OpenGL Material Properties Normal Vectors Phong model
Color n OpenGL Polygonal Shadng Lght Source n OpenGL Materal Propertes Normal Vectors Phong model 2 We know how to rasterze - Gven a 3D trangle and a 3D vewpont, we know whch pxels represent the trangle
More informationwhere f(x, y): input image, g(x, y): processed image, and T: operator Or: s = T(r), where r: input pixel, and s: output pixel
3 Intenit Tanfomation and Spatial Filteing - Intenit tanfomation Change the intenit of each piel in ode to enhance the image: g, T[f, ], whee f, : input image, g, : poceed image, and T: opeato O: T, whee
More informationScan Conversion & Shading
Scan Converson & Shadng Thomas Funkhouser Prnceton Unversty C0S 426, Fall 1999 3D Renderng Ppelne (for drect llumnaton) 3D Prmtves 3D Modelng Coordnates Modelng Transformaton 3D World Coordnates Lghtng
More informationScan Conversion & Shading
1 3D Renderng Ppelne (for drect llumnaton) 2 Scan Converson & Shadng Adam Fnkelsten Prnceton Unversty C0S 426, Fall 2001 3DPrmtves 3D Modelng Coordnates Modelng Transformaton 3D World Coordnates Lghtng
More informationCS 548: COMPUTER GRAPHICS QUATERNIONS SPRING 2015 DR. MICHAEL J. REALE
CS 548: COMPUTER GRAPHICS QUATERNIONS SPRING 5 DR. MICHAEL J. REALE http://common.ikimedia.og/iki/fi le%3awilliam_roan_hamilton_pot ait_oal_combined.png INTRODUCTION Quatenion inented b Si William Roan
More informationBeyond a Simple Physically Based Blinn-Phong Model in Real-Time
Pactcal Physcally Based Shadng n Flm and Game Poducton: Beyond a Smple Physcally Based Blnn-Phong Model n Real-Tme. Intoducton Yoshhau Gotanda t-ace, Inc. http://eseach.t-ace.com/ We pesented ou mplementaton
More informationASSIGN 01: Due Monday Feb 04 PART 1 Get a Sketchbook: 8.5 x 11 (Minimum size 5 x7 ) fo keeping a design jounal and a place to keep poject eseach & ideas. Make sue you have you Dopbox account and/o Flash
More informationVolumetric Textures. Esteban W. Gonzalez Clua 1 Marcelo Dreux 2
Volumetc Textues Esteban W. Gonzalez Clua 1 Macelo Deux 2 1 PUC-Ro - Depatment of Compute Scence Rua Maquês de São Vcente, 255, 22443-900, Ro de Janeo, RJ, Bazl esteban @nf.puc-o.b 2 PUC-RIO Mechancal
More informationAugmented Reality. Integrating Computer Graphics with Computer Vision Mihran Tuceryan. August 16, 1998 ICPR 98 1
Augmented Reality Integating Compute Gaphics with Compute Vision Mihan Tuceyan August 6, 998 ICPR 98 Definition XCombines eal and vitual wolds and objects XIt is inteactive and eal-time XThe inteaction
More information10/29/2010. Rendering techniques. Global Illumination. Local Illumination methods. Today : Global Illumination Modules and Methods
Rendeing techniques Compute Gaphics Lectue 10 Can be classified as Local Illumination techniques Global Illumination techniques Global Illumination 1: Ray Tacing and Radiosity Taku Komua 1 Local Illumination
More information(a, b) x y r. For this problem, is a point in the - coordinate plane and is a positive number.
Illustative G-C Simila cicles Alignments to Content Standads: G-C.A. Task (a, b) x y Fo this poblem, is a point in the - coodinate plane and is a positive numbe. a. Using a tanslation and a dilation, show
More informationComputer Graphics. Jeng-Sheng Yeh 葉正聖 Ming Chuan University (modified from Bing-Yu Chen s slides)
Computer Graphcs Jeng-Sheng Yeh 葉正聖 Mng Chuan Unversty (modfed from Bng-Yu Chen s sldes) llumnaton and Shadng llumnaton Models Shadng Models for Polygons Surface Detal Shadows Transparency Global llumnaton
More informationCS 450: COMPUTER GRAPHICS QUATERNIONS SPRING 2016 DR. MICHAEL J. REALE
CS 45: COMPUTER GRAPHICS QUATERNIONS SPRING 6 DR. MICHAEL J. REALE http://common.ikimedia.og/iki/fi le%3awilliam_roan_hamilton_pot ait_oal_combined.png INTRODUCTION Quatenion inented b Si William Roan
More informationK-Nearest Neighbors Algorithm: Prediction and Classification
K-Neaet Neighbo Algoithm: Peiction an Claification Pof. Thoma B. Fomb Depatment of Economic Southen Methoit Univeit Dalla, TX 7575 Febua 8 A NONPARAMETRIC METHOD The K-Neaet Neighbo (K-NN algoithm i a
More informationColor Correction Using 3D Multiview Geometry
Colo Coection Using 3D Multiview Geomety Dong-Won Shin and Yo-Sung Ho Gwangju Institute of Science and Technology (GIST) 13 Cheomdan-gwagio, Buk-ku, Gwangju 500-71, Republic of Koea ABSTRACT Recently,
More informationProf. Feng Liu. Fall /17/2016
Pof. Feng Liu Fall 26 http://www.cs.pdx.edu/~fliu/couses/cs447/ /7/26 Last time Compositing NPR 3D Gaphics Toolkits Tansfomations 2 Today 3D Tansfomations The Viewing Pipeline Mid-tem: in class, Nov. 2
More informationCSE 165: 3D User Interaction
CSE 165: 3D Use Inteaction Lectue #6: Selection Instucto: Jugen Schulze, Ph.D. 2 Announcements Homewok Assignment #2 Due Fiday, Januay 23 d at 1:00pm 3 4 Selection and Manipulation 5 Why ae Selection and
More informationSimultaneous Position, Velocity, Attitude, Angular Rates, and Surface Parameter Estimation Using Astrometric and Photometric Observations
Smultaneous Poston, Velocty, Atttude, Angula Rates, and Suface Paamete Estmaton Usng Astometc and Photometc Obsevatons Chales J. Wettee and C. Channng Chow Pacfc Defense Solutons, LLC Khe, Hawa, USA jac.wettee@pacfcds.com
More informationInteractive NURBS Tutorial in Virtual Reality
Inteacte NURBS Ttoal n Vtal Realty Eng 477 Poect Fa Octobe 10 2006 Edmond Nadle enadle@mch.ed 734 913-6970 Eng 477 Poect Fa Octobe 10 2006 Eng 477 Poect Fa Octobe 10 2006 NURBS Ces and Sfaces = Non-Unfom
More informationt [ Background removed
HANDS-ON > HOE1 Taining 1 Pictues You decide to ceate a memoies slide show fo you siste and he husband, who wee ecently maied. You include thei high school Sweetheat Ball image, engagement and wedding
More informationLighting. Dr. Scott Schaefer
Lghtng Dr. Scott Schaefer 1 Lghtng/Illumnaton Color s a functon of how lght reflects from surfaces to the eye Global llumnaton accounts for lght from all sources as t s transmtted throughout the envronment
More informationAll lengths in meters. E = = 7800 kg/m 3
Poblem desciption In this poblem, we apply the component mode synthesis (CMS) technique to a simple beam model. 2 0.02 0.02 All lengths in metes. E = 2.07 10 11 N/m 2 = 7800 kg/m 3 The beam is a fee-fee
More informationImage Acquisition and Camera Model
Depatment o Compute Engineeing Univeit o Calionia at Santa Cuz Image Acquiition and Camea Model Hai ao /9/3 /4/3 Human viual tem Depatment o Compute Engineeing Univeit o Calionia at Santa Cuz he main component
More informationDistribution Ray Tracing
Dstbuton Ray Tacng In Whtte Ray Tacng we compute lghtng vey cuely Phong + specula global lghtng In Dstbute Ray Tacng we want to compute the lghtng as accuately as possble Use the fomalsm of Raomety Compute
More informationLecture overview. Visualisatie BMT. Visualization pipeline. Data representation. Discrete data. Sampling. Data Datasets Interpolation
Viualiatie BMT Lectue oveview Data Dataet Intepolation Data epeentation Ajan Kok a.j.f.kok@tue.nl 2 Viualization pipeline Raw Data Data Enichment/Enhancement Deived Data Data epeentation Viualization data
More informationAn Introduction to Image-based 3D Surface Reconstruction and a Survey of Photometric Stereo Methods
3D Res. 2, 03(2011)4 10.1007/3DRes.03(2011)4 3DR REVIEW w An Intoducton to Image-based 3D Suface Reconstucton and a Suvey of Photometc Steeo Methods Steffen Hebot Chstan Wöhle Receved: 21Febuay 2011 /
More informationJournal of World s Electrical Engineering and Technology J. World. Elect. Eng. Tech. 1(1): 12-16, 2012
2011, Scienceline Publication www.science-line.com Jounal of Wold s Electical Engineeing and Technology J. Wold. Elect. Eng. Tech. 1(1): 12-16, 2012 JWEET An Efficient Algoithm fo Lip Segmentation in Colo
More informationP284 A Full-wave Equation Based Seismic Illumination Analysis Method
P284 A Full-wave Equation Baed Seimic Illumination Analyi Method X.-B. Xie* (Univeity of Califonia) & H. Yang (Univeity of Califonia) SUMMARY We popoe a full-wave equation baed method fo eimic illumination
More informationContact Notes. Quantit y. Categor y. Conta. ct Whom? Item. d Cost. Color laser printer, 1200x1200 dpi, 35 ppm, network capable. equipme nt.
Equipme and Technical Guide fo: BD14 (6416) e-commece II Retun to the Equipme and Technical Guide home page Catego Item Quait Requie d? Estimate d Cost Coa ct Whom? Coact Infomation Notes Colo lase pie,
More informationUse of Digital Image Modeling for Evaluation of Concrete Pavement Macrotexture and Wear
Jounal of Tanspotaton Engneeng. Submtted August, 009; accepted Septembe 1, 011; Use of Dgtal Image Modelng fo Evaluaton of Concete Pavement Macotextue and Wea Saumya Amaas 1, Manjke Gunaatne, and Sudeep
More information17/5/2009. Introduction
7/5/9 Steeo Imaging Intoduction Eample of Human Vision Peception of Depth fom Left and ight eye images Diffeence in elative position of object in left and ight eyes. Depth infomation in the views?? 7/5/9
More informationA Novel Automatic White Balance Method For Digital Still Cameras
A Novel Automatic White Balance Method Fo Digital Still Cameas Ching-Chih Weng 1, Home Chen 1,2, and Chiou-Shann Fuh 3 Depatment of Electical Engineeing, 2 3 Gaduate Institute of Communication Engineeing
More informationLecture # 04. Image Enhancement in Spatial Domain
Digital Image Pocessing CP-7008 Lectue # 04 Image Enhancement in Spatial Domain Fall 2011 2 domains Spatial Domain : (image plane) Techniques ae based on diect manipulation of pixels in an image Fequency
More informationNODAL AND LOOP ANALYSIS TECHNIQUES. Develop systematic techniques to determine all the voltages and currents in a circuit NODE ANALYSIS
NODAL AND LOOP ANALYSS TECHNQUES LEANNG GOALS NODAL ANALYSS LOOP ANALYSS Develop systematic techniques to determine all the voltages and currents in a circuit NODE ANALYSS One of the systematic ways to
More informationImproved Methods on PCA Based Human Face Recognition for Distorted Images
Poceedngs of the Intenatonal MultConfeence of Engnees and Compute Scentsts 016 Vol I,, Mach 16-18, 016, Hong Kong Impoved Methods on PCA Based Human Face Recognton fo Dstoted Images Buce Poon, M. Ashaful
More informationPhysical simulation for animation
Physical simulation fo animation Case study: The jello cube The Jello Cube Mass-Sping System Collision Detection Integatos Septembe 17 2002 1 Announcements Pogamming assignment 3 is out. It is due Tuesday,
More informationEE 168 Handout #32 Introduction to Digital Image Processing March 7, 2012 HOMEWORK 7 SOLUTIONS
EE 168 Handout #32 Intoduction to Diital Imae Pocessin Mach 7, 2012 HOMEWORK 7 SOLUTIONS Polem 1: Colo Wheels We can epesent an N x N colo imae y a thee-dimensional aay such that the fist two dimensions
More information2. PROPELLER GEOMETRY
a) Fames of Refeence 2. PROPELLER GEOMETRY 10 th Intenational Towing Tank Committee (ITTC) initiated the pepaation of a dictionay and nomenclatue of ship hydodynamic tems and this wok was completed in
More informationControlled Information Maximization for SOM Knowledge Induced Learning
3 Int'l Conf. Atificial Intelligence ICAI'5 Contolled Infomation Maximization fo SOM Knowledge Induced Leaning Ryotao Kamimua IT Education Cente and Gaduate School of Science and Technology, Tokai Univeisity
More informationRange images. Range image registration. Examples of sampling patterns. Range images and range surfaces
Range mages For many structured lght scanners, the range data forms a hghly regular pattern known as a range mage. he samplng pattern s determned by the specfc scanner. Range mage regstraton 1 Examples
More informationPositioning of a robot based on binocular vision for hand / foot fusion Long Han
2nd Intenational Confeence on Advances in Mechanical Engineeing and Industial Infomatics (AMEII 26) Positioning of a obot based on binocula vision fo hand / foot fusion Long Han Compute Science and Technology,
More informationIllustrative Rendering in Team Fortress 2
Illustrative Rendering in Team Fortress 2 Jason Mitchell Valve Moby Francke Valve Dhabih Eng Valve (a) Concept art (b) Character in the game Figure 1: (a) Concept Art (b) Character as seen by players during
More informationIllumination methods for optical wear detection
Illumination methods fo optical wea detection 1 J. Zhang, 2 P.P.L.Regtien 1 VIMEC Applied Vision Technology, Coy 43, 5653 LC Eindhoven, The Nethelands Email: jianbo.zhang@gmail.com 2 Faculty Electical
More informationAn Extension to the Local Binary Patterns for Image Retrieval
, pp.81-85 http://x.oi.og/10.14257/astl.2014.45.16 An Extension to the Local Binay Pattens fo Image Retieval Zhize Wu, Yu Xia, Shouhong Wan School of Compute Science an Technology, Univesity of Science
More informationA LIGHT SCATTERING METHOD TO MEASURE REAL-TIME PARTICULATE EMISSIONS
A Lght Scatteng Method to Measue Real-tme Patculate Emssons Rose Gong & Keyn Wllams 6 th Austalasan Tanspot Reseach Foum Wellngton New Zealand -3 Octobe 003 A LIGHT SCATTERING METHOD TO MEASURE REAL-TIME
More informationFast Flattening Algorithm for Non-developable 3D Surfaces
Fat Flattenng Algothm fo Non-developable 3D Suface Yh-Chuan Ln Depatment of Compute Scence and Infomaton Engneeng Natonal Fomoa Unvety, Yunln, Tawan 62301 Cha-Hu Kuo Depatment of Compute Scence and Infomaton
More informationA Fast Texture Feature Extraction Method for Region-based Image Segmentation
A Fat extue Featue Extaction Method fo Region-baed Image Segmentation Hui Zhang *, Jaon E. Fitt, Sally A. Goldman Dept. of Compute Science and Engineeing, Wahington Univeity, One Booking Dive. St. Loui,
More informationMonte Carlo Techniques for Rendering
Monte Calo Techniques fo Rendeing CS 517 Fall 2002 Compute Science Conell Univesity Announcements No ectue on Thusday Instead, attend Steven Gotle, Havad Upson Hall B17, 4:15-5:15 (efeshments ealie) Geomety
More information2D Transformations. Why Transformations. Translation 4/17/2009
4/7/9 D Tansfomations Wh Tansfomations Coodinate sstem tansfomations Placing objects in the wold Move/animate the camea fo navigation Dawing hieachical chaactes Animation Tanslation + d 5,4 + d,3 d 4,
More informationCollision Detection with Swept Spheres and Ellipsoids
Collision etection with Swet Shees and Ellisoids Joit Rouwé joit@games.lostbos.com Souce code: htt://www.thee4.demon.nl/swetellisoid/swetellisoid.zi. Intoduction Toda most games use conex olgons fo collision
More informationd Cost No cost-- free open source
Equipme and Technical Guide fo: BD10 (6414) Multimedia and Webpage Design Retun to the Equipme and Technical Guide home page Catego Item Quait Requie d? Estimate d Cost Coa ct Whom? Coact Infomation Notes
More informationGravitational Shift for Beginners
Gavitational Shift fo Beginnes This pape, which I wote in 26, fomulates the equations fo gavitational shifts fom the elativistic famewok of special elativity. Fist I deive the fomulas fo the gavitational
More informationISyE 4256 Industrial Robotic Applications
ISyE 456 Industial Robotic Applications Quiz # Oct. 9, 998 Name This is a closed book, closed notes exam. Show wok fo poblem questions ) ( pts) Please cicle one choice fo each item. a) In an application,
More informationComplex Filtering and Integration via Sampling
Overvew Complex Flterng and Integraton va Samplng Sgnal processng Sample then flter (remove alases) then resample onunform samplng: jtterng and Posson dsk Statstcs Monte Carlo ntegraton and probablty theory
More informationGoniocolorimetry: from measurement to representation in the CIELAB color space
Gonocolomety: fom measuement to epesentaton n the CIELAB colo space Lonel Smonot PHYMAT: Physque des Matéaux, UMR CNRS 6630, Boulevad Mae et Pee Cue, BP 179, 8696 Futuoscope Chasseneul Cedex, Fance Coespondng
More informationLecture 5: Rendering Equation Chapter 2 in Advanced GI
Lectue 5: Rendeing Equation Chapte in Advanced GI Fall 004 Kavita Bala Compute Science Conell Univesity Radiomety Radiomety: measuement of light enegy Defines elation between Powe Enegy Radiance Radiosity
More informationImage Enhancement in the Spatial Domain. Spatial Domain
8-- Spatial Domain Image Enhancement in the Spatial Domain What is spatial domain The space whee all pixels fom an image In spatial domain we can epesent an image by f( whee x and y ae coodinates along
More informationR s s f. m y s. SPH3UW Unit 7.3 Spherical Concave Mirrors Page 1 of 12. Notes
SPH3UW Unt 7.3 Sphercal Concave Mrrors Page 1 of 1 Notes Physcs Tool box Concave Mrror If the reflectng surface takes place on the nner surface of the sphercal shape so that the centre of the mrror bulges
More informationAdaptation of Motion Capture Data of Human Arms to a Humanoid Robot Using Optimization
ICCAS25 June 2-5, KINTEX, Gyeonggi-Do, Koea Adaptation of Motion Captue Data of Human Ams to a Humanoid Robot Using Optimization ChangHwan Kim and Doik Kim Intelligent Robotics Reseach Cente, Koea Institute
More informationStrictly as per the compliance and regulations of:
Global Jounal of HUMAN SOCIAL SCIENCE Economics Volume 13 Issue Vesion 1.0 Yea 013 Type: Double Blind Pee Reviewed Intenational Reseach Jounal Publishe: Global Jounals Inc. (USA) Online ISSN: 49-460x &
More informationPOMDP: Introduction to Partially Observable Markov Decision Processes Hossein Kamalzadeh, Michael Hahsler
POMDP: Intoduction to Patially Obsevable Makov Decision Pocesses Hossein Kamalzadeh, Michael Hahsle 2019-01-02 The R package pomdp povides an inteface to pomdp-solve, a solve (witten in C) fo Patially
More informationRigid Body Segmentation and Shape Description from Dense Optical Flow Under Weak Perspective
, VOL. 19, NO. 2, FEBRUARY 1997 139 Rgd Body Segmentaton and Shape Descpton fom Dense Optcal Flow Unde Weak Pespectve Joseph Webe and Jtenda Malk Abstact We pesent an algothm fo dentfyng and tackng ndependently
More informationSurface Mapping One. CS7GV3 Real-time Rendering
Surface Mappng One CS7GV3 Real-tme Renderng Textures Add complexty to scenes wthout addtonal geometry Textures store ths nformaton, can be any dmenson Many dfferent types: Dffuse most common Ambent, specular,
More informationSome Tutorial about the Project. Computer Graphics
Some Tutoral about the Project Lecture 6 Rastersaton, Antalasng, Texture Mappng, I have already covered all the topcs needed to fnsh the 1 st practcal Today, I wll brefly explan how to start workng on
More information9/5/2018. Physics colloquium today -- 9/05/2018 PHY 711 Fall Lecture /05/2018 PHY 711 Fall Lecture 4 3
PHY 7 Classical Mechanics and Mathematical Methods 0-0:50 AM MWF Olin 03 Plan fo Lectue 4: Reading: Chapte F&W. Summay of pevious discussion of scatteing theoy; tansfomation etween la and cente of mass
More informationPHYS 219 Spring semester Lecture 20: Reflection of Electromagnetic Radiation: Mirrors and Images Formed by Mirrors
PHYS 219 Sprng semester 2014 Lecture 20: eflecton of Electromagnetc adaton: Mrrors and Images Formed by Mrrors on efenberger Brck Nanotechnology Center Purdue Unversty Lecture 20 1 evew: Snapshot of an
More information4.2. Co-terminal and Related Angles. Investigate
.2 Co-teminal and Related Angles Tigonometic atios can be used to model quantities such as
More informationInteractive Rendering of Translucent Objects
Interactve Renderng of Translucent Objects Hendrk Lensch Mchael Goesele Phlppe Bekaert Jan Kautz Marcus Magnor Jochen Lang Hans-Peter Sedel 2003 Presented By: Mark Rubelmann Outlne Motvaton Background
More informationA Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Personification by Boulic, Thalmann and Thalmann.
A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Pesonification by Boulic, Thalmann and Thalmann. Mashall Badley National Cente fo Physical Acoustics Univesity of
More informationRecognizing Facial Expressions Based on Gabor Filter Selection
Recognzng Facal Expessons Based on Gabo Flte Selecton Zang Zhang, Xaomn Mu, Le Gao School of Infomaton Engneeng Zhengzhou Unvest Zhengzhou, Chna Abstact Recognton of human emotonal state s an mpotant component
More informationarxiv: v1 [math.co] 21 Jan 2016
PROOF OF BIJECTION FOR COMBINATORIAL NUMBER SYSTEM axv:60.05794v [math.co] Jan 06 ABU BAKAR SIDDIQUE, SAADIA FARID, AND MUHAMMAD TAHIR Abstact. Combnatoal numbe system epesents a non-negatve natual numbes
More informationGeneralization of Lambert s Reflectance Model
Genealzaton of Lambet s Reflectance Model Mchael Oen and Shee K. Naya Depatment of Compute Scence, Columba Unvesty Ne Yok, NY 007 Abstact Lambet s model fo body eflecton s dely used n compute gaphcs. It
More informationInteractive Rendering of Deforming NURBS Surfaces
EUROGRAHICS 97 / D. Fellne and L. Szmay-Kalos Volume 6, (997), Numbe 3 (Guest Edtos) Inteactve Rendeng of Defomng NURBS Sufaces Fedeck W. B. L Rynson W. H. Lau Mak Geen Compute Gaphcs and Meda Laboatoy
More informationWhere am I? Using Vanishing Points
Whee am I? Using Vanishing Points Whee was I (how high)? Taken fom my hotel oom (6 th floo) Taken fom beach Vanishing point Vanishing line fo hoizon Vanishing point What can vanishing line tell us
More informationDetection and Recognition of Alert Traffic Signs
Detection and Recognition of Alet Taffic Signs Chia-Hsiung Chen, Macus Chen, and Tianshi Gao 1 Stanfod Univesity Stanfod, CA 9305 {echchen, macuscc, tianshig}@stanfod.edu Abstact Taffic signs povide dives
More informationDevelopment and Analysis of a Real-Time Human Motion Tracking System
Development and Analysis of a Real-Time Human Motion Tacking System Jason P. Luck 1,2 Chistian Debunne 1 William Hoff 1 Qiang He 1 Daniel E. Small 2 1 Coloado School of Mines 2 Sandia National Labs Engineeing
More informationEnvironment Mapping. Overview
Envionment Mapping 1 Oveview Intoduction Envionment map constuction sphee mapping Envionment mapping applications distant geomety eflections 2 1 Oveview Intoduction Envionment map constuction sphee mapping
More information3D Head Tracking Based on Recognition and Interpolation Using a Time-Of- Flight Depth Sensor
3D Head Tacng Based on Recognton and Intepolaton Usng a Tme-Of- Flght Depth Senso Salh Bua Götü 1 and Calo Tomas 1,2 1 Canesta Inc., 2 Due Unvesty bgotu@canesta.co tomas@cs.due.edu Abstact Ths pape descbes
More informationRisk assessment research for power transformer based on fuzzy synthetic evaluation
Avalable onlne www.jocp.com Jounal of Chemcal and Phamaceutcal Reseach, 23, 5(2):62-68 Reseach Atcle ISSN : 975-7384 CODEN(USA) : JCPRC5 Rsk assessment eseach fo powe tansfome based on fuzzy synthetc evaluaton
More informationEffectiveness evaluation of electronic warfare command and control system based on grey AHP method
Avalable onlne www.jocp.com Jounal of hemcal and Phamaceutcal Reseach, 014, 6(7):535-54 Reseach Atcle ISSN : 0975-7384 ODEN(USA) : JPR5 Effectveness evaluaton of electonc wafae command and contol system
More informationSOFT COMPUTING OPTIMIZATION TECHNIQUES FOR SOLAR PHOTOVOLTAIC ARRAYS
ARPN Jounal of Engneeng and Appled Scences 2006-20 Asan Reseach Publshng Netwok (ARPN). All ghts eseved. SOFT COMPUTING OPTIMIZATION TECHNIQUES FOR SOLAR PHOTOVOLTAIC ARRAYS Ramapabha R. and Mathu B. L.
More informationSI485i : NLP. Set 5 Using Naïve Bayes
SI485 : NL Set 5 Usng Naïve Baes Motvaton We want to predct somethng. We have some text related to ths somethng. somethng = target label text = text features Gven, what s the most probable? Motvaton: Author
More informationSimultaneous Position, Velocity, Attitude, Angular Rates, and Surface Parameter Estimation Using Astrometric and Photometric Observations
Smultaneous Poston, Velocty, Atttude, Angula Rates, and Suface Paamete Estmaton Usng Astometc and Photometc Obsevatons Chales J. Wettee and C. Channng Chow Pacfc Defense Solutons, LLC Khe, Hawa, USA jac.wettee@pacfcds.com
More informationImproved Graph-Based Image Segmentation Based on Mean Shift 1
03 8th Intenational Confeence on Communication and Netwoking in China (CHINACOM) Impoved Gaph-Baed Image Segmentation Baed on Mean Shift Jianwen Mo, Chaoxuan Wang,Tong Zhang, Hua uan School of Infomation
More informationReal-time. Shading of Folded Surfaces
Rhensche Fredrch-Wlhelms-Unverstät Bonn Insttute of Computer Scence II Computer Graphcs Real-tme Shadng of Folded Surfaces B. Ganster, R. Klen, M. Sattler, R. Sarlette Motvaton http://www www.vrtualtryon.de
More information3D vector computer graphics
3D vector computer graphcs Paolo Varagnolo: freelance engneer Padova Aprl 2016 Prvate Practce ----------------------------------- 1. Introducton Vector 3D model representaton n computer graphcs requres
More informationTopic -3 Image Enhancement
Topic -3 Image Enhancement (Pat 1) DIP: Details Digital Image Pocessing Digital Image Chaacteistics Spatial Spectal Gay-level Histogam DFT DCT Pe-Pocessing Enhancement Restoation Point Pocessing Masking
More informationExamples 4.2 and 4.3
Exampe 4.2 Exampes 4.2 an 4.3 Consie a 6-Hz synchonous machine with the foowing pu paametes:.7 k.49.64.96.65.742.65.3.526.54 k k.55 H 2.37 s.5 Obseve that this is a oun oto machine because =, ~, an >.
More informationWhere am I? Using Vanishing Points
Whee am I? Using Vanishing Points Vanishing point Vanishing line fo hoizon Vanishing point What can vanishing line tell us about me? Hoizon Camea pitch angle (looking down) Camea oll angle (tilted towad
More informationDerivation of the Nodal Forces Equivalent to Uniform Pressure for Quadratic Isoparametric Elements RAWB, Last Update: 30 September 2008
Deivation of the odal oces Equivalent to Unifom Pessue fo Quadatic sopaametic Elements RWB, Last Update: 0 Septembe 008 The displacement vecto u at an point within a single element, E, is lineal elated
More informationCSE 165: 3D User Interaction. Lecture #6: Selection Part 2
CSE 165: 3D Use Inteaction Lectue #6: Selection Pat 2 2 Announcements Poject 1 due this Fiday at 2pm Gading in VR lab B210 2-3:30pm Two goups: even hous stat at 2pm odd hous at 3pm Homewok submission:
More informationAn Unsupervised Segmentation Framework For Texture Image Queries
An Unsupevised Segmentation Famewok Fo Textue Image Queies Shu-Ching Chen Distibuted Multimedia Infomation System Laboatoy School of Compute Science Floida Intenational Univesity Miami, FL 33199, USA chens@cs.fiu.edu
More informationAngle domain illumination analysis along a target horizon Jian Mao, Sang Suh and Bin Wang, TGS
Downloaded /9/3 to.9.79.3. Reditibution ubject to SEG licene o copyiht; ee Tem of Ue at http://libay.e.o/ Anle domain illumination analyi alon a taet hoizon Jian Mao, San Suh and Bin Wan, TGS Summay We
More informationFair NURBS Curve Generation using a Hand-drawn Sketch for Computer Aided Aesthetic Design
Poceedngs of the 7th WSEAS Int. Conf. on Sgnal Pocessng, Computatonal Geomet & Atfcal Vson, Athens, Geece, August 24-26, 27 29 Fa NURBS Cuve Geneaton usng a Hand-dawn Sketch fo Compute Aded Aesthetc Desgn
More informationFeature Reduction and Selection
Feature Reducton and Selecton Dr. Shuang LIANG School of Software Engneerng TongJ Unversty Fall, 2012 Today s Topcs Introducton Problems of Dmensonalty Feature Reducton Statstc methods Prncpal Components
More informationComputer Vision - Histogram Processing. Dr. S. Das IIT Madras, CHENNAI - 36
Comute Viion - Hitogam Poceing D. S. Da IIT Mada, CHENNAI - 36 HISTOGRAM In a gay level image the obabilitie aigned to each gay level can be given by the elation: n, N Inut image,,2...l - - The nomalized
More informationFACE VECTORS OF FLAG COMPLEXES
FACE VECTORS OF FLAG COMPLEXES ANDY FROHMADER Abstact. A conjectue of Kalai and Eckhoff that the face vecto of an abitay flag complex is also the face vecto of some paticula balanced complex is veified.
More information