摘要: This chapter describes work toward understanding the fundamentals of image flow and presents algorithms for estimating field. Image is velocity field in plane that arises due to projection moving patterns scene onto plane. The motion may be observer, objects scene, or both. also apparent where a change between frames gives illusion motion. can used solve important vision problems provided it accurately reliably computed. Potential applications are discussed Section 2.1.2.
springer.com
sci-hub.se 参考文章(62)
H. G. Barrow, J. M. Tenenbaum, RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES ,(1978)
William F. Clocksin, Determining the orientation of surfaces from optical flow AISB/GI'78 Proceedings of the 1978 AISB/GI Conference on Artificial Intelligence. pp. 93- 102 ,(1978)
A. Blake, Reconstructing a visible surface national conference on artificial intelligence. pp. 23- 26 ,(1984)
David William Murray, N. S. Williams, Bernard F. Buxton, Hilary Buxton, 3D Solutions to the Aperture Problem. european conference on artificial intelligence. pp. 105- 114 ,(1984)
R. Jain, D. Militzer, H.-H. Nagel, Separating non-stationary from stationary scene components in a sequence of real world TV-images international joint conference on artificial intelligence. pp. 612- 618 ,(1977)
D. Terzopoulos, Multilevel Reconstruction of Visual Surfaces: Variational Principles and Finite-Element Representations Multiresolution Image Processing and Analysis. pp. 237- 310 ,(1984) , 10.1007/978-3-642-51590-3_17
Werner Reichardt, Tomaso Poggio, Figure-ground discrimination by relative movement in the visual system of the fly Biological Cybernetics. ,vol. 35, pp. 81- 100 ,(1979) , 10.1007/BF00337434
S. Ullman, J. Richter, A Model for the Spatio-Temporal Organization of X- and Y-Type Ganglion Cells in the Primate Retina ,(1980)
W.E.L Grimson, The Implicit Constraints of the Primal Sketch. ,(1981)
Allen M. Waxman, An image flow paradigm Morgan Kaufmann Publishers Inc.. pp. 145- 168 ,(1987) , 10.1016/B978-0-08-051581-6.50021-0