Image-flow computation: An estimation-theoretic framework and a unified perspective

Adelson, 1985, Spatiotemporal energy models for the perception of motion, J. Opt. Soc. Am., 2, 284, 10.1364/JOSAA.2.000284 Aggarwal, 1988, On the Computation of Motion from Sequences of Images—A Review, 10.21236/ADA211479 Aisbett, 1989, Optical-flow with an intensity weighted smoothing, IEEE Trans. Pattern Anal. Mach. Intelligence, PAMI-5, 512, 10.1109/34.24783 Anandan, 1987, Measuring Visual Motion from Image Sequences Beck, 1977 Black, 1990, A framework for computing motion over time Burt, 1984, The pyramid as a structure for efficient computation, 6 Buxton, 1984, Computation of optic flow from the motion of edge features in image sequences, Image Vision Comput., 2, 10.1016/0262-8856(84)90001-5 Enkelmann, 1988, Investigations of multigrid algorithms for estimation of optical flow fields in image sequences, Comput. Vision Graphics Image Process., 43, 150, 10.1016/0734-189X(88)90059-X 1988 Geman, 1984, Stochastic relaxation, gibbs distribution and the bayesian restoration of images, IEEE Trans. Pattern Anal. Mach. Intelligence, 6, 721, 10.1109/TPAMI.1984.4767596 Golub, 1983 Heeger, 1987, A model for extraction of image flow Hildreth, 1983 Horn, 1981, Determining optical flow, Artif. Intelligence, 17, 185, 10.1016/0004-3702(81)90024-2 Hutchinson, 1988, Computing motion using analog and binary resistive networks, Computer, 52, 10.1109/2.31 Matthies, 1988, Kalman filter-based algorithms for estimating depth from image-sequences, 199 Murray, 1990 Murray, 1984, Reconstructing the optic flow field from edge motion: An examination of two different approaches Nagel, 1983, Displacement vectors derived from second order intensity variations in image sequences, Comput. Vision Graphics Image Process., 21, 85, 10.1016/S0734-189X(83)80030-9 Nagel, 1983, On the estimation of dense displacement maps from image sequences, 59 Press, 1988 Ralston, 1978 Schunck, 1988, Image flow: Fundamentals and algorithms, 23 Scott, 1988 Singh, 1990, An estimation-theoretic framework for image-flow computation Singh, 1990, Image-Flow Computation: An Estimation-Theoretic Framework, Unification and Integration Singh, 1989, A method to integrate correlation-based and gradient-based methods for image-flow estimation Snyder, 1989, On the mathematical foundations of smoothness constraints for the determination of optical flow and for surface reconstruction, 107 Tuma, 1979 Waxman, 1985, Contour evolution, neighborhood deformation and global image flow: Planar surfaces in motion, Int. J. Robotics, 4, 95, 10.1177/027836498500400307 Waxman, 1988, Convected activation profiles and measurement of visual motion, 717