Improved Adaptive Stereo Matching Using Double Dynamic Programming with Correlation of Row and Column

摘要：

In a variety of stereo matching algorithms using dynamic programming algoritbm can effectively improve the speed and accuracy with good real-time performance and easy realization. In this paper. with advantages of dynamic programming, we presents a stereo matching algorithm using double dynamic programming with correlation of row and column, which uses improved adaptive support-weight approach and energy minimization model to solve the optimization problem. In the solving process, different constructed values of data items given based on characters of variation in the column direction using row dynamic programming and the values of smoothness item in the column direction, to reduce apparent defective stripes, are used to get the final result using column dynamic programming. Experimental results used Middlebury database show that the proposed algorithm can reduce the overall matching error rates and apparent defective stripes and get a better stereo matching effect.

关键词： stereo matching double dynamic programming with correlation of row and column improved adaptive support-weight approach constructed value of data item

作者: Ming ZHAO Xiao-bai LI Rong-Iing LANG

作者单位: College of Electronic and Information Engineering,Beijing University of Aeronautics and Astronautics,Beijing, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1776-1781

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）