Title :
A probabilistic approach for solving Poisson equations in computer vision problems
Author :
Tian, Jie ; Tai, Juwei ; Zhang, Xinsheng
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
fDate :
30 Aug-3 Sep 1992
Abstract :
Describes the probabilistic approach to solve Poisson equations and show this method may be used to solve computer vision problems. The authors also give a complexity analysis of this method and compare it method with BEM, FEM and FDM in terms of storage and time complexity. Some examples are given and show that the authors method is better than BEM, FEM and FDM in certain aspects. Finally, the authors use the probabilistic approach for solving several computer vision problems, such as shape from shading, surface interpolation and brightness based stereo vision, the experimental results show that the probabilistic approach is very effective
Keywords :
boundary-elements methods; computational complexity; computer vision; finite difference methods; finite element analysis; partial differential equations; probability; BEM; FDM; FEM; Poisson equations; brightness based stereo vision; complexity analysis; computer vision; probabilistic approach; shape from shading; storage; surface interpolation; time complexity; Automation; Brightness; Computer vision; Finite difference methods; Finite element methods; Iterative methods; Poisson equations; Shape; Stereo vision; Surface reconstruction;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.202092
