Color Constancy Based on Image Similarity
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概要
- 論文の詳細を見る
Computational color constancy is a classical problem in computer vision. It is an under-constrained problem, which can be solved based on some constraint. Existing algorithms can be divided into two groups; physics-based algorithms and statistics-based approaches. In this paper, we propose a new hypothesis that the images generated under a same illumination have some similar features. Based on this hypothesis, a novel statistics-based color constancy algorithm is given and a new similarity function between images is also defined. The experimental results show that our algorithm is effective and it is more important that the dimension of the features in our algorithm is much lower than many former statistics-based algorithms.
- （社）電子情報通信学会の論文
- 2008-02-01
著者
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XU De
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Wang Jin-hua
Institute Of Computer Science And Engineering Beijing Jiaotong University
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LI Bing
Institute of Computer Science and Engineering, Beijing Jiaotong University
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LU Rui
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Li Bing
Beijing Jiaotong Univ. Beijing Chn
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Li Bing
Institute Of Computer Science And Engineering Beijing Jiaotong University
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Xu De
Beijing Jiaotong Univ. Beijing Chn
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Lu Rui
Institute Of Computer Science And Engineering Beijing Jiaotong University
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Xu De
Institute Of Computer & Engineering Beijing Jiaotong University
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