Research of Stereo Matching Using Belief Propagation Based on Image Segmentation
Li Peng · Infrared Technology · 2011
The traditional stereo matching methods using belief propagation algorithm based on pixel have two deficiencies: high computation complexity and errors easily induced by single pixel.To make up for the two deficiencies,this paper proposes a novel belief propagation algorithm based on image segmentation,via using segmented regions instead of pixels and disparity plane set instead of disparity search space.Instead of assigning a disparity value to each pixel,a disparity plane is assigned to each segment.The amount of calculation is reduced and the capability to deal with textureless regions and occlusions is improved with segment constraint.Experimental results show that our algorithm has lower computation complexity,higher matching accuracy and better performance for processing in textureless regions and occluded regions than other belief propagation algorithms based on pixel,and it obtained an accurate dense disparity map.