Processing differential image motion.

The inference of three-dimensional camera motion parameters and the layout of a scene from image flows becomes particularly simple from a computational point of view if the scene contains depth variations. Under this condition, the differential image motion yields a simple estimate of the translation field lines at image locations corresponding to depth discontinuities in the scene. This in turn facilitates closed-form solutions of camera motion parameters and environmental depth. Our results may have relevance to human motion perception, which also seems to rely on depth variation in processing image motion.

[1]  Thomas S. Huang,et al.  Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  S. Ullman.  The interpretation of structure from motion , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[3]  K. R. Llewellyn,et al.  Visual guidance of locomotion. , 1971, Journal of experimental psychology.

[4]  J. J. Koenderink,et al.  Detectability of velocity gradients in moving random-dot patterns , 1983, Vision Research.

[5]  R. Warren.  The perception of egomotion. , 1976, Journal of experimental psychology. Human perception and performance.

[6]  H. C. Longuet-Higgins,et al.  The interpretation of a moving retinal image , 1980, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[7]  H. C. Longuet-Higgins,et al.  A computer algorithm for reconstructing a scene from two projections , 1981, Nature.

[8]  Hans-Hellmut Nagel,et al.  Volumetric model and 3D trajectory of a moving car derived from monocular TV frame sequences of a street scene , 1981, Comput. Graph. Image Process..

[9]  K. Prazdny.  Determining The Instantaneous Direction Of Motion From Optical Flow Generated By A Curvilinearly Moving Observer , 1981, Other Conferences.

[10]  K. Nakayama.  Differential motion hyperacuity under conditions of common image motion , 1981, Vision Research.

[11]  David N. Lee,et al.  Plummeting gannets: a paradigm of ecological optics , 1981, Nature.

[12]  S. McKee.  A local mechanism for differential velocity detection , 1981, Vision Research.

[13]  R W Cumming,et al.  The role of optical expansion patterns in locomotor control. , 1973, The American journal of psychology.

[14]  Daryl T. Lawton,et al.  Processing translational motion sequences , 1983, Comput. Vis. Graph. Image Process..

[15]  J H Rieger,et al.  Information in optical flows induced by curved paths of observation. , 1983, Journal of the Optical Society of America.

[16]  D Regan,et al.  How do we avoid confounding the direction we are looking and the direction we are moving? , 1982, Science.

[17]  Andrea J. van Doorn,et al.  Invariant Properties of the Motion Parallax Field due to the Movement of Rigid Bodies Relative to an Observer , 1975 .

[18]  Lee Dn,et al.  The optic flow field: the foundation of vision. , 1980 .

[19]  H. Wagner.  Flow-field variables trigger landing in flies , 1982, Nature.