Outliers Elimination Based RANSAC for Fundamental Matrix Estimation

摘要：

　　To accelerate the RANSAC process for fundamental matrix estimation,two special modifications about RANSAC are proposed.Firstly,in the verification stage,not the correspondences are used to verify the hypothesis but the singular values of estimated fundamental matrix are directly used to evaluate the effectiveness of the matrix.Secondly,after getting a plausible estimation,the obvious outliers are eliminated from the correspondences set.This process can enhance the inliers’ ratio in the remaining correspondences set,which will accelerate the sample progress.We call our method as outlier elimination based RANSAC (OE-RANSAC).Experimental results both from synthetic and real data have testified the efficiency of OE-RANSAC.

关键词： Outlier elimination RANSAC fundamental matrix estimation

作者: Shuqiang Yang Biao Li

作者单位: ATR laboratory National University of Defense Technology Changsha,China

会议类型: 国际会议

会议名称: 2013中国虚拟现实大会暨ICVRV2013

会议地点: 西安

会议语种:英文

页码: 321-324

在线出版日期: 2013-09-14（万方平台首次上网日期，不代表论文的发表时间）