Abstract
As virtual reality evolves towards more natural interfaces, new contact less interaction based on gesture recognition is unfolding. This interaction is supported on geometric, dynamic and cognitive modelling of gestures. As well as other branches of artificial intelligence, computer vision plays an important role in this modelling.
The purpose of this paper is to describe how computer vision is helping to develop virtual reality and present some interfaces developed in our laboratory.
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References
Aliaga, D.G. (1997). “Virtual objects in the real world”. Communications of the ACM, Vol. 40, No. 3, pp. 49–54. 264, 265
Baecker, R.M. and Buxton, W.A.S. (1987). “A historical and intellectual perspective of human-computer interaction”. In Readings in Human-Computer Interaction, a multidisciplinary approach, Baecker, R.M. and Buxton, W.A.S. (Eds.), Morgan Kaufmann. 262
Barfield, W. and Furnes, T.A. (1995). Virtual Environments and Advanced Interface Design. Oxford University Press. 262, 263
Basu, S., Essa, I. and Pentland, A. (1996). “Motion regularization for model-based head tracking”. MIT Media Laboratory Perceptual Computing Section, Technical Report No. 362. 264, 268
Baumberg, A.M. and Hogg, D.C. (1993). “Learning flexible models from’ image sequences”. Report 93.36, Research Report Series, School of Computer Studies, University of Leeds, U.K. 264
Blake, A. and A. Yuille (Eds.). (1992). Active Vision, MIT Press. 265
Bolt, R.A. (1985). “Conversing with computers”. Technology Review, 88(2), 35–43. 262
Brown, C.M. and Terzopoulos (Eds.) (1994). Real-time Computer Vision. 263, 265
Buxton, H. (1997). “Visual interpretation and understanding”. Cognitive Science Research Paper 452, School of Cognitive and Computing Sciences, University of Sussex, U.K. 263
Cipolla, R., Okamoto, Y. and Kuno, Y. (1993). “Robust structure from motion using motion parallax”. Proceedings of the International Conference on Computer Vision, IEEE Press. 264, 267
Faugeras, O. (1993). Three-Dimensional computer vision, a geometric viewpoint. MIT Press.
Gonzalez, R.C. and R.E. Woods. (1992). Digital Image Processing (3rd ed.), Addison-Wesley. 267, 268
Grimson, W.E.L. (1995). “Medical applications of image understanding”. IEEE Expert, Intelligent systems and their applications, Vol. 10, No. 5, pp. 18–28. 264, 265
Hayward, T. (1993). Adventures in Virtual Reality. QUE corp. 262
Heap, T. and Samaria, F. (1995). “Real-time hand tracking and gesture recognition using smart snakes”. Technical Report, Olivetti Research Limited, U.K. 264, 267
Hubel, D.H. (1988). Eye, Brain and Vision, Scientific American Library 263
Lam, K.M. and Yang, H. (1996). “Locating and extracting the eye in human face images”. Pattern Recognition, Vol. 29, No. 5, pp. 771–779. 264, 266
Maybury, M.T., (Ed.). (1993). Intelligent Multimedia Interfaces. MIT Press. 262
Mundy, J.L. and Zisserman, A. (Eds.). (1992). Geometric Invariance in Machine Vision. MIT Press.
Natonek, E., Zimmerman, T., Fluckiger, L, “Model based vision as feedback for virtual reality robotics environments”. Virtual Reality, Annual International Symposium’ 95, IEEE 264, 265
Ohzu, H. and Habara, K. (1996). “Behind the scenes of virtual reality: vision and motion”. Proceedings of the IEEE, Vol. 84, No. 5, pp. 782–798.
Page, I. (1988). “The disputer: a dual-paradigm parallel processor for graphics and vision”. In Page, I. (Ed.), Parallel Architectures for Computer Vision, Oxford University Press. 263
Pentland, A.P. (1996). “Smart rooms”. Scientific American, April 1996, pp. 54–62. 264, 265
Peña, J., Rios, H.V., y Barradas, P. (1997). “Interacción con escenarios 3D por medio de ademanes y movimientos oculares”, Memorias del Congreso Computación Visual 97, pp. 213–219, Facultad de Ciencias, UNAM, México. 264, 267, 268
Rehg, J.M. and Kanade, T. (1993). “DigitEyes: vision-based human hand tracking”, School of Computer Science, Carnegie Mellon University, Technical report number: CMU-CS-93-220. 264, 267
Rekimoto, J. (1995). “A vision-based head tracker for fish tank virtual reality” Virtual Reality, Annual International Symposium’ 95, IEEE 264, 268
Rios, H.V. y Barradas, P.D. (1996). “Interacción Hombre-Máquina por medio de movimientos oculares”. Memorias del V Congreso Iberoamericano de Inteligencia Artificial, pp. 492–501. 264, 266, 267
Rios, H.V., Figueroa, J.M. y Barradas, P.D. (1997). “Visión por computadora en interfaces Hombre-Máquina”, Soluciones Avanzadas, No. 42, febrero 1997, pp. 51–56. 267
Rothe, I., Suesse, H. and Voss, K. (1996). “The method of normalization to determine invariants”, Pattern Analysis and Machine Intelligence, Vol. 18, No. 4, pp. 366–376.
Winter, S. y Rudomin, I. (1997). “Synthetic computer vision for autonomous agents in distributed partitioned environments”. Memorias del Congreso Computación Visual 97, pp.157–166, Facultad de Ciencias, Universidad Nacional Autónoma de México. 264
Schwartz, E.I. (1995). “A face of one’sown”. Discover the world of Science, vol. 16, no.2, December 1995, pp. 78–87. 264
Starner, T. and Pentland, A. (1996). “Real-time American sign language recognition from video using hidden Markov models”. MIT Media Laboratory Perceptual Computing Section, Technical Report No. 375. 264
Terzopoulos, D., Witkin, A. & Kass, M., “Constraints on Deformable Models: Recovering 3D Shape and Nonrigid Motion”, Artificial Intelligence, Vol. 36 (1988), pp. 91–123. 263, 265
Terzopoulos D. (1991). “Visual Modelling”, Proceedings of the British Machine Vision Conference, BMVA. 263, 265
Towersoft. (1995). DIAS, Dialog and Programming System for Digital Image Analysis. User reference manual, version 4.0, Towersoft, Berlin, Germany. 268
Vince, J. (1995). Virtual Reality Systems. Addison-Wesley. 262, 263
Voss, K. and Suesse, H. (1997). “Invariant fitting of planar objects by primitives”. Pattern Analysis and Machine Intelligence, Vol. 19, No. 1, pp. 80–84. 268
Voss, K. (1993). Discrete Images, Objects and Funciones in Z n. Algorithms and Combinatorics 11, Springer-Verlag.
Voss, K., Ríos, H.V. and Peña, J. (1998). “Head tracking by glasses detection”. Computación y Sistemas, Revista Iberoamericana de Computación, No. 3, pp. 170–178, Centro de Investigación en Computación, Instituto Politécnico Nacional, México. 264, 268
Wildes, R.P. (1997). “Iris recognition: an emerging biometric technology”. Proceedings of the IEEE, Vol. 85, No. 9, pp. 1348–1364. 264
Young, D., Tunley, H. and Samuels, R. (1995). “Specialized Hough transform and active contour methods for real-time eye tracking”. Cognitive Science Research Paper, No. 386, University of Sussex, England, U.K. 264, 266
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Ríos Figueroa, H.V., Acevedo, J.P. (1998). Computer Vision Interaction for Virtual Reality. In: Coelho, H. (eds) Progress in Artificial Intelligence — IBERAMIA 98. IBERAMIA 1998. Lecture Notes in Computer Science(), vol 1484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49795-1_23
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