Two Level Stereo Match Approach Based on Maximum-Window
基于最大窗口的二次立体匹配方法

A novel window-based stereo matching approach is proposed in this paper.The approach estimates the coarse disparity in maximum window in left and right image according most-min absolute difference method firstly.As result, two maximum windows are established,after then,the second match is done in the two max windows and obtain fine disparity,the result disparity is the sum of coarse disparity and fine disparity.For the smooth or wipe regions,the problem of cost function's multiple most minimums is appeared in the process of stereo matching.In order to overcome it,threshold smooth cost function is presented to avoid the smooth or wipe balance regions.After completing the matc- hing of no-wipe or non-smooth regions,the unmatched wipe and smooth regions are estimated by the average of most adjacent disparity.At last,several stereo images are used to test the algorithm.The results indicate that the approach is valid and possible.