Intrinsic Image Decomposition Using Color Invariant Edge
The intrinsic image composed of reflectance and shading images plays important roles in various computer vision applications. This paper focuses on solving the problem of intrinsic image decomposition. Based on the assumption that the image derivatives can be classified into either reflectance-related or shading-related, the reflectance and shading image can be restored from the classified derivatives. We improve the classification result using only color information by introducing the color invariant edge. Considering some color invariant properties in the image, the color invariant edge can provide more useful information in guiding the classification and producing more robust decomposition result as it is shown in the experiment.
Boxin Shi Yangxi Li Chao Xu
Key Laboratory of Machine Perception (Ministry of Education) Peking University Beijing, China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
307-312
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）