Stereo matching algorithm based on image segmentation
Sikun Li · Journal of Computer Applications · 2011
The stereo matching algorithm based on Markov Random Field(MRF) restricts the continuity of the disparity by the MRF model,but it can not describe the image feature exactly due to the generative property of the model.This paper presented a stereo matching algorithm of SGC based on image segmentation.The SGC algorithm built the MRF model by using the result of image segmentation;thereby,the edge information of the disparity map could be kept in the continuity(smoothness) constraints.Moreover,to improve the disparity accuracy,a new energy function was well designed to restrict the depth-continuity of an image and applied to the Graph Cut(GC) algorithm to describe the image feature.The experimental results show that this SGC algorithm can reflect the depth information more exactly than the existing algorithm and achieve a high-precision disparity by avoiding the error resulting from the continuity constraints.