Fractured Surfaces Matching for Reassembling Broken Solids

摘要：

A fractured surfaces matching algorithm for reassembling broken solids is proposed. The algorithm first defines point bumpiness based on integral invariants that is robust to noise. Using the bumpiness feature points are picked from fractured surface. Subsequently initial matching point pairs are obtained by comparing multi-scale integral invariants of feature points and outliers are discarded according to surface patches similarity based on compatibility constraint. Finally, a fast and efficient hierarchical greedy algorithm is employed to align the two fractured surfaces and measure if they are matched using surface distance. The algorithm is also suited for matching arbitrary surfaces which contain rich feature points.

关键词： fractured surfaces matching integral invariants bumpiness compatibility constraint hierarchical greedy algorithm

作者: Qunhui Li Mingquan Zhou Guohua Geng

作者单位: School of Information Science and Technology, Northwest University, Xian, China School of Science, College of Information Science and Technology, Beijing Normal University, Beijing, China School of Information Science and Technology, Northwest University, Xian, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 1089-1092

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）