Abstract
Motion sensitive cells in the primary visual cortex are not selective to velocity, but rather are directionally selective and tuned to spatiotemporal frequencies. This paper describes physiologically plausible theories for computing velocity from the outputs of spatiotemporally oriented filters and proves several theorems showing how to combine the outputs of a class of frequency tuned filters to detect local image velocity. Furthermore, it can be shown (Grzywacz and Yuille 1990) that the filters' combination may simulate “Pattern” cells in the middle temporal area (MT), while each filter simulates primary visual cortex cells. This suggests that MT's role is not to solve the aperture problem, but to estimate velocities from primary cortex information. The spatial integration that accounts for motion coherence may be postponed to a later cortical stage.
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References
Adelson, E.H. and Bergen, J. 1985 Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. A 2, 284–299.
Bulthoff, H., Little, J. and Poggio, T. 1989 A parallel algorithm for real-time computation of optical flow Nature 337, 549–553.
Daugman, J.G. 1985 Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two dimensional visual cortical filters J. Opt. Soc. Am. A 2, 1160–1169.
Daugman, J.G. 1988 Pattern and motion vision without Laplacian zero-crossings J. Opt. Soc. Am. A 5, 1142–1148.
Fleet, D.J. and Jepson, A.D. 1989 Computation of normal velocity from local phase information Technical Reports on Research on Biological and Computational Vision RBCV-TR-89-27, Department of Computer Science, University of Toronto, Toronto, Canada.
Gabor, D. 1946 Theory of communication J. Inst. Electr. Eng. 93, 429–457.
Gaddum, J.H. 1945. Lognormal distributions Nature 156, 463–466.
Grzywacz, N.M. and Poggio, T. 1989 Computation of motion by real neurons. In An Introduction to Neural and Electronic Networks (eds. S.F. Zornetzer, J.L. Davis and C. Lau) Orlando, FL, USA: Academic Press. In Press.
Grzywacz, N.M. and Yuille, A.L. 1990 A model for the estimate of local image velocity by cells in the visual cortex. Proceedings of the Royal Society of London. In press.
Hassenstein, B. and Reichardt, W.E. 1956 Systemtheoretische analyse der zeit-, reihenfolgenund vorzeichenauswertung bei der bewegungsperzeption des russelkafers chlorophanus, Z. Naturforsch. 11b, 513–524.
Heeger, D. 1987 A model for the extraction of image flow, J. Opt. Soc. Am. A 4, 1455–1471.
Hildreth, E.C. 1984 The Measurement of Visual Motion. Cambridge, MA: MIT Press.
Jasinschi, R.S. 1988 Space-time sampling with motion uncertainty: Constraints on space-time filtering. In Proc. Second Int. Conf. Computer Vision Tampa, FL, USA, pp. 428–434. Washington, DC: IEEE Computer Society Press.
Poggio, T. and Reichardt, W.E. 1976 Visual control of orientation behaviour in the fly: Part II: Towards the underlying neural interactions Q. Rev. Biophys. 9, 377–438.
van Santen, J.P.H. and Sperling, G., 1984 A temporal covariance model of motion perception J. Opt. Soc. Am. A 1, 451–473.
Watson, A.B. and Ahumada, A.J. 1985. Model of human visual-motion sensing J. Opt. Soc. Am. A 2, 322–341.
Yuille, A.L. and Cohen, D.S. 1989 The Development and training of motion and velocity sensitive cells. Harvard Robotics Laboratory Technical Report 89-9.
Yuille, A.L. and Grzywacz, N.M. 1988. The motion coherence theory. In Proc. Second Int. Conf. Computer Vision, Tampa, Florida, USA. pp. 344–353. Washington, DC: IEEE Computer Society Press.
Yuille, A.L. and Poggio, T. 1986 Scaling theorems for zero-crossings PAMI-8 1, 15–25.
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Grzywacz, N.M., Yuille, A.L. (1990). A model for the estimate of local velocity. In: Faugeras, O. (eds) Computer Vision — ECCV 90. ECCV 1990. Lecture Notes in Computer Science, vol 427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014880
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DOI: https://doi.org/10.1007/BFb0014880
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