The Ouchi illusion as an artifact of biased flow estimation

Vision Research

Volumn 40, Issue 1, 2000, Pages 77-95

  Fermüller, Cornelia ^a   Pless, Robert ^a   Aloimonos, Yiannis ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Bias; Motion; Optical flow; Plaid; Statistics

Indexed keywords

EYE MOVEMENT; FLOW MEASUREMENT; ILLUSION; MODEL; MOVEMENT PERCEPTION; OPTICS; PRIORITY JOURNAL; RETINA IMAGE; REVIEW; STATISTICAL ANALYSIS; VISION; VISUAL FIELD;

EID: 0345633590     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(99)00162-5     Document Type: Article

References (61)

1. Adelson E.H., Movshon J.A. Phenomenal coherence of moving visual patterns. Nature. 300:1982;523-525.
2. Besl P.J., Jain R.C. Segmentation through variable-order surface fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 10(2):1988;167-192.
3. Burke D., Wenderoth P. The effect of interactions between one-dimensional component gratings on two-dimensional motion perception. Vision Research. 33(3):1993;343-350.
4. Coombs D., Brown C. Real-time binocular smooth pursuit. International Journal of Computer Vision. 11:1993;147-164.
5. Daniilidis K., Spetsakis M.E. Understanding noise sensitivity in structure from motion. Visual navigation: from biological systems to unmanned ground vehicles. 1997;Lawrence Erlbaum Associates, Mahwah, NJ.
6. Daniilidis, K. (1992). On the error sensitivity in the recovery of object descriptions. PhD thesis, Department of Informatics, University of Karlsruhe, Germany (in German).
7. Daniilidis K. Fixation simplifies 3D motion estimation. Computer Vision and Image Understanding. 68:1996;158-169.
8. de Valois R.L., Yund E.W., Hepler N. The orientation and direction sensitivity of cells in macaque visual cortex. Visual Research. 22:1982;531-544.
9. Duffy C.J., Wurtz R.H. Sensitivity of MST neurons to optical flow stimuli I: A continuum of response selectivity to large field stimuli. Journal of Neurophysiology. 65:1991;1329-1345.
10. Duffy C.J., Wurtz R.H. Sensitivity of MST neurons to optical flow stimuli II: mechanisms of response selectivity revealed by small field stimuli. Journal of Neurophysiology. 65:1991;1346-1359.
11. Faugeras O.D. Three-dimensional computer vision. 1992;MIT Press, Cambridge, MA.
12. Fermüller C., Aloimonos Y. Tracking facilitates 3-D motion estimation. Biological Cybernetics. 67:1992;259-268.
13. Fermüller C., Aloimonos Y. Direct perception of three-dimensional motion from patterns of visual motion. Science. 270:1995;1973-1976.
14. Fermüller, C., & Aloimonos, Y. (1995b). Representations for active vision. In Proceedings of the International Joint Conference on Artificial Intelligence.
15. Fermüller C., Cheong L., Aloimonos Y. Visual space distortion. Biological Cybernetics. 77:1997;323-337.
16. Fermüller C., Pless R., Aloimonos Y. Families of stationary patterns producing illusory movement: insights into the visual system. Proceedings of the Royal Society of London B. 264:1997;795-806.
17. Ferrera V.P., Wilson H.R. Direction specific masking and the analysis of motion in two dimensions. Vision Research. 27:1987;1783-1796.
18. Ferrera V.P., Wilson H.R. Perceived speed of moving two-dimensional patterns. Vision Research. 31(5):1991;877-893.
19. Heeger D.J. Model for the extraction of image flow. Journal of the Optical Society of America A. 4:1987;1455-1471.
20. Heeger D. Optical flow using spatiotemporal filters. International Journal of Computer Vision. 1:1988;279-302.
21. Hildreth E. Computations underlying the measurement of visual motion. Artificial Intelligence. 23:1984;309-354.
22. Hine T.J., Cook M., Rogers G.T. An illusion of relative motion dependent upon spatial frequencies and orientation. Vision Research. 33(22):1995;3093-3102.
23. Hine T.J., Cook M., Rogers G.T. The Ouchi illusion: an anomaly in the perception of rigid motion for limited spatial frequencies and angles. Perception and Psychophysics. 59(3):1997;448-455.
24. Horn B.K.P., Schunk B. Determining optical flow. Artificial Intelligence. 17:1981;185-203.
25. Horn B.K.P. Robot vision. 1986;McGraw Hill, New York.
26. Hubel D., Wiesel T. Receptive fields and functional architecture of the monkey striate cortex. Journal of Physiology. 195:1968;215-243.
27. Jasinschi R.S., Rosenfeld A., Sumi K. Perceptual motion transparency: the role of geometrical information. Journal of the Optical Society of America A. 9:1992;1865-1879.
28. Kelly D.H. Motion and vision. II. Stabilized spatio-temporal threshold surface. Journal of the Optical Society of America. 609(10):1979;1340-1349.
29. Khang B.-G., Essock E.A. Apparent relative motion from a checkerboard surround. Perception. 26(7):1997;831-846.
30. Khang B.-G., Essock E.A. A motion illusion from two-dimensional periodic patterns. Perception. 26(5):1997;585-597.
31. Kim J., Wilson H.R. Dependence of plaid motion coherence on component grating directions. Vision Research. 33(17):1993;2479-2489.
32. Koller D., Daniilidis K., Nagel H.-H. Model-based object tracking in monocular image sequences of road-traffic scenes. International Journal of Computer Vision. 10:1993;257-281.
33. Kooi F.L., De Valois K.K., Grosof D.H., De Valois R.L. Properties of the recombination of one-dimensional motion signals into a pattern motion signal. Perception and Psychophysics. 52(4):1992;415-424.
34. Marr D., Ullman S. Directional selectivity and its use in early visual processing. Proceedings of the Royal Society of London B. 211:1981;151-180.
35. Maunsell J.H.R., Van Essen D.C. Functional properties of neurons in middle temporal visual area of the macaque monkey I. Selectivity for stimulus direction, speed and orientation. Journal of Neurophysiology. 49:1983;1127-1147.
36. Movshon J.A., Adelson E.H., Gizzi, Newsome W.T. The analysis of moving visual patterns, Experimental Research. Suppl. 11:1986;117-151.
37. Movshon A. Visual processing of moving images. Barlow H., Blakemore C., Weston-Smith M. Images and understanding. 1990;122-137 Cambridge University Press, Cambridge.
38. Nagel, H.-H., & Haag, M. (1998). Bias-corrected optical flow estimation for road vehicle tracking. In Proceedings of the international conference on computer vision (pp. 1006-1011).
39. Nagel H.-H. Optical flow estimation and the interaction between measurement errors at adjacent pixel positions. International Journal of Computer Vision. 15:1995;271-288.
40. Nakayama K., Silverman G.H. The aperture problem - I. Perception of non-rigidity and motion direction in translating sinusoidal lines. Vision Research. 28:1988;739-746.
41. Nakayama K., Silverman G.H. The aperture problem - II. Spatial integration of velocity information along contours. Vision Research. 28:1988;747-753.
42. Nelson R.C. Qualitative detection of motion by a moving observer. International Journal of Computer Vision. 7:1991;33-46.
43. Orban G.A. The analysis of motion signals and the nature of processing in the primate visual system. Orban G.A., Nagel H.-H. Artificial and biological vision systems. ESPRIT basic research series. 1992;24-57 Springer-Verlag, Berlin.
44. Ouchi H. Japanese and geometrical art. 1977;1977 Dover, New York.
45. Rodman H.R., Albright T.D. Single-unit analysis of pattern-motion selective properties in the middle temporal visual area (MT). Experimental Brain Research. 75:1989;53-64.
46. Shulman, D., & Hervé, J.-Y. (1989). Regularization of discontinuous flow fields. In Proceedings of the IEEE workshop on visual motion (pp. 81-86).
47. Simoncelli, E. P., Adelson, E. H., & Heeger, D. J. (1991). Probability distributions of optical flow. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 310-315).
48. Smith, S. M., & Brady, J. M. (1995). ASSET-2: real time motion segmentation and shape tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (8), 814-820.
49. Smith A.T., Edgar G.K. Perceived speed and direction of complex gratings and plaids. Journal of the Optical Society of America. 8(7):1991;1161-1171.
50. Spillmann L., Tulunay-Keesey U., Olson J. Apparent floating motion in normal and stabilized vision. Investigative Ophthalmalogy and Visual Science (Suppl.). 34:1993;1031.
51. Stark L. Neurobiological control systems. Studies in bioengineering. 1968;Plenum Press, New York.
52. Stoner G.R., Albright T.D., Ramachandran V.S. Transparency and coherence in human motion perception. Nature. 344:1990;153-155.
53. Szeliski R. Bayesian modeling of uncertainty in low-level vision. International Journal of Computer Vision. 5(3):1990;271-301.
54. Ungerleider L.G., DeSimone R. Cortical connections of visual area MT in the macaque. Journal of Comparative Neurology. 248:1986;190-222.
55. Wallach H. Uber visuell wahrgenommene bewegungsrichtung. Psychologische Forschung. 20:1935;325-380.
56. Wang, S., Markandey, Y., & Reid, A. (1992). Total least squares fitting spatiotemporal derivatives to smooth optical flow fields. In Proceedings of the SPIE: signal and data processing of small targets, vol. 1698 (pp. 42-55). SPIE.
57. Weber J., Malik J. Robust computation of optical flow in a multi-scale differential framework. International Journal of Computer Vision. 14:1995;67-81.
58. Welch L. The perception of moving plaids reveals two motionprocessing stages. Nature. 337:1989;735-737.
59. Yo C., Wilson H.R. Moving 2D patterns capture the perceived direction of both lower and higher spatial frequencies. Vision Research. 32:1992;1263-1270.
60. Zeki S.M., Watson J.D.G., Frackowiak R.S.J. Going beyond the information given: the relation of illusory visual motion to brain activity. Proceedings of the Royal Society of London B. 252:1993;215-222.
61. Zeki S.M. Functional organization of a visual area in the posterior bank of the superior temporal sulcus of the rhesus monkey. Journal of Physiology (London). 236:1974;546-573.