Optimal Line Feature Generation from Low-level Line Segments under RANSAC Framework

摘要：

　　The low-level line segment features have low accuracy as they are more easily affected by the noise and differeent line segment detectors.Furthermore,the line segment is not a good feature for matching across multiple views when we need to finish the 3D reconstruction.However,the line feature is more robust for the noise.In this paper,a kind of line feature,ideal line,is defined and optimally estimated by clustering the line segments under RANSAC framework.The physical experiments are carried out to verify the proposed estimation method.

关键词： Ideal Line Line Segment Maximum Likelihood Estimation RANSAC

作者: Li Haifeng Chen Rong

作者单位: College of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300 Passenger Marketing & Sales Committee,Xiamen Airlines,Xiamen,361011

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 4589-4593

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）