A novel cross-scale cost aggregation framework with dynamic support windows is introduced to address the fundamental challenge of local stereo matching algorithms, accuracy and computational complexity dilemma. The matching cost volume is aggregated at each scale separately with box filtering whose support windows are dynamic inter-scales. An inter-scale regularizer is introduced into optimization and solving this new cross-scale cost aggregation problem. Weighted median filtering is used for disparity refi...
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