Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (11): 12-18.doi: 10.16180/j.cnki.issn1007-7820.2019.11.003

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A Stereo Matching Using Double Layer Support Windows Based on RGB Map and Disparity Map

LI Xiaolin,LI Wenguo,LI Hao   

  1. Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China
  • Received:2018-11-12 Online:2019-11-15 Published:2019-11-15
  • Supported by:
    Natural Science Research Foundation of Kunming University of Science and Technology(KKSY201301070)


Aiming at the problem that traditional local matching support window is difficult to use pixel information with long distance and gray distance, a stereoscopic matching algorithm using double layer support windows based on disparity map and RGB map was proposed in this study. The algorithm obtained the first layer disparity support window according to the disparity map, and obtained the gray scale similar sub-support window by matching the RGB color gray value of the reference picture in the disparity support window. The aggregation matching cost was optimized by class dynamic programming algorithm with parallax window, gray window and central pixel as optimized paths. Finally, the WTA strategy was used to select the best disparity, update all disparities and iteratively optimize the disparity map until convergence of the disparity map was achieved. After evaluation by the Middlebury platform, the average mismatch rate of the new algorithm was 5.15%.

Key words: the disparity map, the grey map, double layer support windows, dynamic programming, iterative

CLC Number: 

  • TN911.73