Estimating smoothness term for BP stereo matching with sparse disparities

摘要：

The belief propagation stereo matching algorithm has high computational cost and varied parameters. To address these problems and perform stereo matching in practical applications, we implement BP algorithm on cuda and propose an approach to estimate parameters of smoothness term in the energy function automatically. We use Harris corner detector and Pyramidal KLT feature tracker algorithm to extract a sparse disparity map. The rate of increase in the discontinuity cost can be compute out approximately. Experiments demonstrate that our approach is feasible and the approximate parameters of discontinuity cost can be computed out quickly.

关键词： Image processing Stereo matching Markov random field Belief propagation Corner detection

作者: He Junxue Li Zhanming

作者单位: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou,730050, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 326-330

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）