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172 BIBLIOGRAFÍA[17] OpenGL Architecture Review Board, Dave Shreiner, Mason Woo, Jackie Neider,and Tom Davis. OpenGL(R) Programming Guide: The Official Guide to LearningOpenGL(R), Version 2.1 (6th Edition). Addison-Wesley Professional, 2007.[18] G. Bradshaw. Non-contact surface geometry measurement techniques. Image SynthesisGroup, Trinity College, Dublin, Irlanda, 1999.[19] Gary Bradski and Adrian Kaehler. Learning OpenCV: Computer vision with theOpenCV Library. O’Really, September, 2008.[20] Francisco Ramírez C., Klaus Rall, F. Eugenio López G., and Rafael Colas O. Maquinadode una sucesión de curvas. Ingenierías, (IV):35–36, 2001.[21] D. Cristinacce and T.F. Cootes. Feature detection and tracking with constrained localmodels. Proc. British Machine Vision Conference, vol. 3(929-938), 2006.[22] José Julián Díaz Díaz, Donald Hearn, and M. Pauline Baker. Gráficas por computadora.1995.[23] P. Ekman and W. Friesen. Facial action coding system: A technique for the measurementof facial movement. Consulting Psychologists Press, Palo Alto, 1978.[24] Yikai Fang, Jian Cheng, J. Wang, K. Wang, J. Liu, and H. Lu. Hand posture recognitionwith co-training. ICPR 2008, Pattern Recognition 2008, 2008.[25] D. M. Gavrila and Wihelm Runge St. The visual analysis of human movement: A survey.Computer Vision and Image Understanding, 3(1), January, 1999.[26] J. Glauert, R. Kennaway, R. Elliott, and Theobald B. Virtual human signing as expressiveanimation. In Symposium on Adaptive Agents and Multi-Agent Systems, Leeds, UK.,pages 88–106.[27] Vanessa Herrera Tirado. GANAS: Generador Automático del Lenguaje de Signos. EscuelaSuperior de Informática de Ciudad Real (UCLM), 2007.[28] B. Horn and B. Schunck. Determining optical flow. Artificial Intelligence, 17:185–203,1981.[29] A. Just, Y. Rodriguez, and S. Marcel. Hand posture classification and recognition usingthe modified census transform. Proceedings of AFGR, (351-356), 2006.[30] Mark J. Kilgard. The OpenGL Utility Toolkit (GLUT) Programming Interface API Version3. Silicon Graphics, Inc., 1996.[31] M. Kolsch and M. Turk. Robust hand detection. Proceedings of AFGR, 614-619, 2004.[32] Rung-Huei Liang and Ming Ouhyoung. A real-time continuous alphabetic sign languageto speech conversion vr system. Computer Graphics Forum, 14:67–77, August 1995.
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UNIVERSIDAD DE CASTILLA-LA MANCHAES
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TRIBUNAL:Presidente:Vocal1:Vocal2:S
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ResumenSegún datos de la CNSE (Con
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AgradecimientosQuiero mostrar mi m
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XÍNDICE GENERAL4.3.2. Proceso de d
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XIIÍNDICE DE FIGURAS4.7. Diagrama
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XIVÍNDICE DE TABLAS
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XVILISTA DE ALGORITMOS
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2 Capítulo 1. IntroducciónLa leng
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4 Capítulo 1. IntroducciónPor otr
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6 Capítulo 1. Introducciónmódulo
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8 Capítulo 2. Objetivos del proyec
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10 Capítulo 2. Objetivos del proye
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12 Capítulo 3. Antecedentes, Estad
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Optical FlowRaúl Varas Martínez18
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y =x2+ 2x+ 5mediante el polinomio d
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trices para concatenarlas y multipl
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82 Capítulo 4. Metodología de Tra
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100 Capítulo 4. Metodología de Tr
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114 Capítulo 5. ResultadosTodas la
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116 Capítulo 5. ResultadosVídeos
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118 Capítulo 5. Resultados5.2. Res
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120 Capítulo 5. Resultados• Boca
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Page 148 and 149: 124 Capítulo 6. Conclusiones y Pro
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