TY - GEN
T1 - A probabilistic approach for solving poisson equations in computer vision problems
AU - Tian, Jie
AU - Tai, Juwei
AU - Zhang, Xinsheng
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - In this paper, we describe the probabilistic approach to solve Poisson equations and how this method may be used to solve computer vision problems. We also give a complexity analysis of this method and compare our method with the BEM, FEM and FDM in terms of storage and time complexity. Some examples are given and show our method is better than BEM, FEM and FDM in certain aspects. Finally, we used 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.
AB - In this paper, we describe the probabilistic approach to solve Poisson equations and how this method may be used to solve computer vision problems. We also give a complexity analysis of this method and compare our method with the BEM, FEM and FDM in terms of storage and time complexity. Some examples are given and show our method is better than BEM, FEM and FDM in certain aspects. Finally, we used 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.
UR - https://www.scopus.com/pages/publications/85019584762
U2 - 10.1109/ICPR.1992.202092
DO - 10.1109/ICPR.1992.202092
M3 - 会议稿件
AN - SCOPUS:85019584762
T3 - Proceedings - International Conference on Pattern Recognition
SP - 737
EP - 740
BT - Conference C
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IAPR International Conference on Pattern Recognition, IAPR 1992
Y2 - 30 August 1992 through 3 September 1992
ER -