Fast Computation of Large Disparity Matching Approach Based on Correlation Window
In order to get the dense disparity in stereo matching, the algorithms based on correlation is applied widely, but the large computation cost is the main problem in realtime application, especially in large disparity stereopair matching. In this paper, a fast computation approach based on correlation window matching is proposed suitable to large disparity stereo matching. Firstly, the proposed approach estimates the disparity of image level and gets the new left and right images. Then, matching algorithm based on correlation window is applied to get the new disparity of the new stereopair, the computation optimization strategy is adapted to accelerate the algorithm running speed, the sum of estimation disparity and the disparity obtained in new stereo pair is the result disparity. Finally, the compared experiments are presented the paper. The experiment results indicate that proposed approach could save the running time in prodigious degree.
matching large disparity window- based global estimation disparity calculation optimization
YongquanXia Min Huang JunZhi RuiMa
Department of Computer and Communication Engineering.University of Zhengzhou Light Industry, Zhengzhou, Henan Province, PR China Department of Computer,University of Nanjing Science and Technology.Nanjing, Jiangsu Province, PR China
国际会议
武汉
英文
367-370
2008-12-19（万方平台首次上网日期，不代表论文的发表时间）