Computing optical flow across multiple scales: An adaptive coarse-to-fine strategy
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[1] Christof Koch,et al. A Multiscale Adaptive Network Model of Motion Computation in Primates , 1990, NIPS.
[2] P. J. Burt,et al. The Pyramid as a Structure for Efficient Computation , 1984 .
[3] A. Verri,et al. A computational approach to motion perception , 1988, Biological Cybernetics.
[4] Norberto M. Grzywacz,et al. A computational theory for the perception of coherent visual motion , 1988, Nature.
[5] Hans-Hellmut Nagel,et al. An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Claude L. Fennema,et al. Velocity determination in scenes containing several moving objects , 1979 .
[7] Jin Luo,et al. Analog hardware for detecting discontinuities in early vision , 1990, International Journal of Computer Vision.
[8] Roberto Battiti. Multiscale methods, parallel computation, and neural networks for real-time computer vision , 1991 .
[9] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[10] Christof Koch,et al. Computing Optical Flow in the Primate Visual System , 1989, Neural Computation.
[11] Joseph K. Kearney,et al. Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] D Marr,et al. Directional selectivity and its use in early visual processing , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[13] A. Verri,et al. Analysis of differential and matching methods for optical flow , 1989, [1989] Proceedings. Workshop on Visual Motion.
[14] E H Adelson,et al. Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[15] Shimon Ullman. Analysis of visual motion by biological and computer systems , 1987 .
[16] Demetri Terzopoulos,et al. Image Analysis Using Multigrid Relaxation Methods , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] D. Brandt,et al. Multi-level adaptive solutions to boundary-value problems math comptr , 1977 .
[18] A. Verri,et al. Constraints for the computation of optical flow , 1989, [1989] Proceedings. Workshop on Visual Motion.
[19] W. Reichardt,et al. Movement Detectors of the Correlation Type Provide Sufficient Information for Local Computation of the 2-D Velocity Field , 1988 .
[20] A J Ahumada,et al. Model of human visual-motion sensing. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[21] R. Battiti,et al. Surface Reconstruction and Discontinuity Detection: A Fast Hierarchical Approach on a Two-Dimensional Mesh , 1990, Proceedings of the Fifth Distributed Memory Computing Conference, 1990..
[22] M. Egelhaaf,et al. Movement detectors provide sufficient information for local computation of 2-D velocity field , 1988, Naturwissenschaften.
[23] John B. Goodenough. The Ada Compiler Validation Capability , 1981 .
[24] Jin Luo,et al. Computing motion using analog and binary resistive networks , 1988, Computer.
[25] G. Wasilkowski,et al. Computing optical flow , 1989, [1989] Proceedings. Workshop on Visual Motion.
[26] C Koch,et al. Computing motion in the primate's visual system. , 1989, The Journal of experimental biology.
[27] J. van Santen,et al. Temporal covariance model of human motion perception. , 1984, Journal of the Optical Society of America. A, Optics and image science.
[28] Tomaso Poggio,et al. Computational vision and regularization theory , 1985, Nature.
[29] Ellen C. Hildreth,et al. Computations Underlying the Measurement of Visual Motion , 1984, Artif. Intell..
[30] T Poggio,et al. Parallel integration of vision modules. , 1988, Science.
[31] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.
[32] F. Glazer. Multilevel Relaxation in Low-Level Computer Vision , 1984 .
[33] D C Van Essen,et al. Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. , 1983, Journal of neurophysiology.
[34] Behrooz Kamgar-Parsi,et al. Evaluation of quantization error in computer vision , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[35] T. Poggio,et al. Considerations on models of movement detection , 1973, Kybernetik.
[36] Wilfried Enkelmann,et al. Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences , 1988, Comput. Vis. Graph. Image Process..
[37] B. Hassenstein,et al. Systemtheoretische Analyse der Zeit-, Reihenfolgen- und Vorzeichenauswertung bei der Bewegungsperzeption des Rüsselkäfers Chlorophanus , 1956 .
[38] J. Marroquín. Surface Reconstruction Preserving Discontinuities , 1984 .
[39] T. Poggio,et al. A parallel algorithm for real-time computation of optical flow , 1989, Nature.
[40] C. Koch,et al. The analysis of visual motion: from computational theory to neuronal mechanisms. , 1986, Annual review of neuroscience.
[41] Tomaso A. Poggio,et al. Motion Field and Optical Flow: Qualitative Properties , 1989, IEEE Trans. Pattern Anal. Mach. Intell..