Robust velocity computation from a biologically motivated model of motion perception

Proceedings of the Royal Society B: Biological Sciences

Volumn 266, Issue 1418, 1999, Pages 509-518

  Johnston, Alan ^a   McOwan, Peter W ^a,b   Benton, Christopher P ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Motion blind; Motion transparency; MT; Optic flow; Pedestal; Speed perception

Indexed keywords

ARTICLE; MATHEMATICAL MODEL; MOVEMENT PERCEPTION; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; VELOCITY; VISUAL CORTEX;

PRIMATES;

EID: 0033531465     PISSN: 09628452     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rspb.1999.0666     Document Type: Article

References (47)

1. Adelson, E. H. & Bergen, J. R. 1985 Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. A 2, 284-299.
2. Adelson, E. H. & Bergen, J. R. 1986 The extraction of spatio-temporal energy in human and machine vision. In Proceedings of the IEEE workshop on motion: representation and analysis, pp. 151-156. Charleston, SC, IEEE.
3. Albright, T. D., Desimone, R. & Gross, C. G. 1984 Columnar organisation of directionally selective cells in visual area MT of the macaque. J. Neurophysiol. 51, 16-31.
4. Baker, C., Hess, R. & Zihl, J. 1991 Residual motion perception in a 'motion blind' patient, assessed with limited-lifetime random dot stimuli. J. Neurosci. 11, 454-461.
5. Barlow, H. B. & Levick, W. R. 1965 The mechanism of directionally selective units in rabbit's retina. J. Physiol. Lond. 178, 477-504.
6. Bruce, V., Green, P. R. & Georgeson, M. A. 1996 Visual perception: physiology, psychology & ecology, 3rd edn. Hove: Laurence Erlbaum Associates.
7. Cheng, K., Hasegawa, T., Saleem, K. S. & Tanaka, K. 1994 Comparison of neuronal selectivity for stimulus speed, length and contrast in the prestriate visual cortical areas V4 and MT of the macaque monkey. J. Neuropysiol. 71, 2269-2280.
8. Del Viva, M. M. & Morrone, C. M. 1998 Motion analysis by feature tracking. Vision Res. 38, 3633-3653.
9. De Valois, R. L. & De Valois, K. 1988 Spatial vision. Oxford University Press.
10. Fennema, C. L. & Thompson, W. B. 1979 Velocity determination in scenes containing several moving objects. Comput. Graph. Image Process. 9, 301-315.
11. Foster, D. H. 1971 A model of the human visual system in its response to certain classes of moving stimuli. Kybernetik 8, 69-84.
12. Heeger, D. J. & Simoncelli, E. P. 1995 Model of visual motion sensing. In Spatial vision in humans and robots (ed. L. Harris), pp. 367-392. Cambridge University Press.
13. Heeger, D. J., Simoncelli, E. P. & Movshon, J. A. 1996 Computational models of cortical visual processing. Proc. Natl Acad. Sci. USA 93, 623-627.
14. Hess, R. F. & Snowden, R. J. 1992 Temporal properties of human visual filters: number, shapes and spatial covariation. Vision Res. 32, 47-60.
15. Hess, R. H., Baker, C. L. & Zihl, J. 1989 The 'motion-blind' patient: low-level spatial and temporal filters. J. Neurosci. 9, 1628-1640.
16. Hildreth, E. C. 1984 The computation of the velocity field. Proc. R. Soc. Lond. B 221, 189-220.
17. Horn, B. K. P. & Schunck, B. G. 1981 Determining optical flow. Artif. Intell. 17, 185-203.
18. Hubel, D. H. & Wiesel, T. N. 1965 Receptive fields and functional architecture in two non-striate visual areas (18 and 19) of the cat. J. Neurophysiol. 28, 229-289.
19. Hubel, D. H. & Wiesel, T. N. 1974 Sequence regularity and geometry of orientation columns in the monkey striate cortex. J. Comp. Neurol. 158, 267-294.
20. Johnston, A. & Clifford, C. W. G. 1995 A unified account of three apparent motion illusions. Vision Res. 35, 1109-1123.
21. Johnston, A. & Wright, M. J. 1983 Visual motion and cortical velocity. Nature 304, 436-438.
22. Johnston, A., McOwan, P. W. & Buxton, H. 1992 A computational model of the analysis of some first-order and second-order motion patterns by simple and complex cells. Proc. R. Soc. Lond. B 250, 297-306.
23. Koenderink, J. J. 1988 Operational significance of receptive field assemblies. Biol. Cybernet. 58, 163-171.
24. Koenderink, J. J. & van Doorn, A. J. 1976 Local structure of movement parallax of the plane. J. Opt. Soc. Am. 66, 717-723.
25. Koenderink, J. J. & van Doorn, A. J. 1987 Representation of local geometry in the visual system. Biol. Cybernet. 55, 367-375.
26. Koenderink, J. J. & van Doorn, A. J. 1992 Receptive field assembly pattern specificity. J. Vis. Comm. Image Rep. 3, 1-12.
27. Lagae, L., Raiguel, S. & Orban, G. A. 1993 Speed and direction selectivity of macaque middle temporal neurones. J. Neurophysiol. 69, 19-39.
28. Lang, S. 1987 Calculus of several variables. New York: Springer.
29. Lu, Z.-L. & Sperling, G. 1995 The functional architecture of human visual motion perception. Vision Res. 35, 2697-2722.
30. Lu, Z.-L. & Sperling, G. 1996 Contrast gain control in first-and second-order motion perception. J. Opt. Soc. Am. A 13, 2305-2318.
31. Lucas, B. D. & Kanade, T. 1981 An iterative image registration technique with an application to stereo vision. In Proceedings of the seventh international joint conference on artificial intelligence, pp. 674-679. Vancouver, BC.
32. McLeod, P., Dittrich, W., Driver, J., Perrett, D. & Zihl, J. 1996 Preserved and impaired detection of structure from motion by a 'motion-blind' patient. Visual Cogn. 3, 363-391.
33. McOwan, P. W. & Johnston, A. 1996 Motion transparency arises from perceptual grouping: evidence from luminance and contrast modulation motion displays. Curr. Biol. 10, 1343-1346.
34. Mikami, A., Newsome, W. T. & Wurtz, R. H. 1986 Motion selectivity in macaque visual cortex. I. Mechanisms of direction and speed selectivity in extrastriate area MT. J. Neurophysiol. 55, 1308-1327.
35. Newsome, W. T. & Pare, E. B. 1988 A selective impairment of motion perception following lesions of the middle temporal visual area (MT). J. Neurosci. 8, 2201-2211.
36. Orban, G. A., Kennedy, H. & Maes, H. 1981 Response to movement of neurones in areas 17 and 18 of the cat. J. Neurophysiol. 45, 1043-1058.
37. Otte, M. & Nagel, H. 1995 Estimation of optical flow based on higher-order spatio-temporal derivatives in interlaced and non-interlaced image sequences. Artif. Intell. 78, 5-43.
38. Pasternak, T. & Merigan, W. H. 1994 Motion perception following lesions of the superior temporal sulcus in the monkey. Cerebr. Cortex 4, 247-259.
39. Reichardt, W. 1961 Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. In Sensory communication (ed. W. A. Rosenblith), pp. 303-317. New York: Wiley.
40. Rodman, H. R. & Albright, T. D. 1987 Coding of stimulus velocity in area MT of the macaque. Vision Res. 27, 2035-2048.
41. Simoncelli, E. P. & Heeger, D. J. 1998 A model of neuronal responses in visual area MT. Vision Res. 38, 743-762.
42. Sobey, P. & Srinivasan, M. V. 1991 Measurement of optical flow by a generalized gradient scheme. J. Opt. Soc. Am. A 8, 1488-1498.
43. Van Santen, J. P. H. & Sperling, G. 1984 Temporal covariance model of human motion perception. J. Opt. Soc. Am. A 1, 451-473.
44. Van Santen, J. P. H. & Sperling, G. 1985 Elaborated Reichardt detectors. J. Opt. Soc. Am. A 2, 300-321.
45. Werkhoven, P. & Koenderink, J. 1990 Extraction of motion parallax structure in the visual system. I. Biol. Cybernet. 63, 185-191.
46. Young, R. A. & Lesperance, R. M. 1993 A physiological model of motion analysis for machine vision. Technical Report GMR 7878. Warren, MI: General Motors Research Laboratories.
47. Zemany, L., Stromeyer, C. F. III, Chaparro, A. & Kronauer, R. E. 1998 Motion detection on flashed, stationary pedestal gratings: evidence for an opponent-motion mechanism. Vision Res. 38, 795-812.