Hough-RANSAC: A Fast and Robust Method for Rejecting Mismatches
This paper proposed a novel method-Hough-RANSAC for rejecting mismatches in image registration.Many well-known algorithms for rejecting mismatches,such as the Least Median of Square regression algorithm (LMedS) and the Random Sample Consensus algorithm (RANSAC),perform poorly when the percent of mismatches is more than 50%.Compared with the two well-known algorithms,the Hough-RANSAC algorithm can guarantee both time performance and accuracy,even if the percent of correct matches fell much below 20%.
Rejecting mismatches LMedS RANSAC Hough-RANSAC
Hongxia Gao Jianhe Xie Yueming Hu Ze Yang
School of Automation Science and Engineering,South China University of Technology,Guangzhou,510641,China;Engineering Research Center for Precision Electronic Manufacturing Equipment of Ministry of Education,Guangzhou,510640,China
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
363-370
2014-11-01(万方平台首次上网日期,不代表论文的发表时间)