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ACCV
2009
Springer

Weighted Map for Reflectance and Shading Separation Using a Single Image

9 years 4 months ago
Weighted Map for Reflectance and Shading Separation Using a Single Image
In real world, a scene is composed by many characteristics. Intrinsic images represent these characteristics by two components, reflectance (the albedo of each point) and shading (the illumination of each point). Because reflectance images are invariant under different illumination conditions, they are more appropriate for some vision applications, such as recognition, detection. We develop the system to separate them from a single image. Firstly, a presented method, called Weighted-Map Method, is used to separate reflectance and shading. A weighted map is created by first transforming original color domain into new color domain and then extracting some useful property. Secondly, we build Markov Random Fields and use Belief Propagation to propagate local information in order to help us correct misclassifications from neighbors. According to our experimental results, our system can apply to not only real images but also synthesized images.
Sung-Hsien Hsieh, Chih-Wei Fang, Te-Hsun Wang, Chi
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where ACCV
Authors Sung-Hsien Hsieh, Chih-Wei Fang, Te-Hsun Wang, Chien-Hung Chu, Jenn-Jier James Lien
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