DocumentCode
419458
Title
Systematic static shadow detection
Author
Yao, Jian ; Zhang, Zhongfei
Author_Institution
Dept. of Comput. Sci., New York State Univ., Binghamton, NY, USA
Volume
2
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
76
Abstract
A systematic static shadow detection algorithm for color images is presented in this paper. The image is modeled by an undirected graph and the shadow detection is achieved through maximizing the graph probability using the EM algorithm. Further analysis shows the connection between our model and the relaxation-labeling (RL) model. Experiments clearly indicate that our method is superior to a state-of-the-art shadow detection algorithm.
Keywords
graph theory; image colour analysis; object detection; probability; color images; graph probability; relaxation-labeling model; static shadow detection; undirected graph; Color; Computer science; Detection algorithms; Information geometry; Labeling; Lighting; Object detection; Optimization methods; Pixel; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334044
Filename
1334044
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