Hierarchy-Based Occlusion Modeling and Stereo Matching

A new occlusion model based stereo matching algorithm using scene hierarchical structure is presented.The occlusion model is constructed on two levels: image scan-line and segment.In particular,the paper highlights a previously overlooked geometric fact: the most foreground objects can be easily detected by intensity-based cost function and the farer objects can be matched using local occlusion model constructed by the former recognized objects.Then the scene structure is achieved from foreground to background.Image segmentation is adopted to increase the algorithm's efficiency and to decrease the discontinuity of disparity map.Experimental results demonstrate that the proposed algorithm is among the state-of-the-art stereo algorithms on various datasets.Furthermore,better performance is achieved in the conventionally difficult areas such as texture-less regions,disparity discontinuous boundaries and occluded portions.