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Simultaneous color consistency and depth map estimation for radiometrically varying stereo images

Simultaneous color consistency and depth map estimation for radiometrically varying stereo images,10.1109/ICCV.2009.5459396,Yong Seok Heo,Kyoung Mu Le

Simultaneous color consistency and depth map estimation for radiometrically varying stereo images  
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In this paper, we propose a new method that infers accu- rate depth maps and color-consistent images between ra- diometrically varying stereo images, simultaneously. In general, stereo matching and performing color consis- tency between stereo images are a chicken-and-egg prob- lem. Color consistency enhances the performance of stereo matching, while accurate correspondences from stereo dis- parities improve color consistency between stereo images. We devise a new iterative framework in which these two pro- cesses can boost each other. For robust stereo matching, we utilize the mutual information-based method combined with the SIFT descriptor from which we can estimate the joint pdf in log-chromaticity color space. From this joint pdf, we can estimate a linear relationship between the correspond- ing pixels in stereo images. Using this linear relationship and the estimated depth maps, we devise a stereo color his- togram equalization method to make color-consistent stereo images which conversely boost the disparity map estima- tion. Experimental results show that our method produces both accurate depth maps and color-consistent stereo im- ages even for stereo images with severe radiometric differ- ences.
Conference: International Conference on Computer Vision - ICCV , pp. 1771-1778, 2009
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