Title :
Early vision and the minimum norm constraint
Author :
Chhabra, Atul K. ; Grogan, Timothy A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Abstract :
Contour-based optical flow is used as a working example to show that the Euler-Lagrange equations admit multiple solutions. The minimum norm constraint is presented as a way of overcoming this problem. This constraint is motivated by the minimum norm solution obtained by the use of singular value decomposition for singular problems of signal processing. Some experimental results obtained using the minimum norm constraint are presented. They show how this constraint helps explain the nonrigid interpretation of some rigidly translating contours
Keywords :
minimisation; optical information processing; picture processing; Euler-Lagrange equations; contour based optical flow; early vision; minimum norm constraint; signal processing; singular value decomposition; Boundary conditions; Calculus; Computational modeling; Computer vision; Equations; Image motion analysis; Optical computing; Optical devices; Optical signal processing; Surface reconstruction;
Conference_Titel :
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-87942-597-0
DOI :
10.1109/ICSMC.1990.142171
