An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set

摘要：

　　Feature points can be used to match images.Candidate feature points are extracted through SIFT firstly.Then feature points are selected from candidate points through singular value decomposing.Distance between feature points sets is computed According to theory of invariability of feature points set,images are matched if the distance is less than a threshold.Experiment showed that this algorithm is available.

关键词： SIFT Invariability of feature points set Image matching Singular value decomposing

作者: Xuetong Wang Yao Xu Feng Gao Bai Jingyi

作者单位: School of Computer Science and Engineering, Xian University of Technology, Xian, China Xian Technological University North Institute of Information Engineering, Xian, China Automation Workstation Of Shandong Military Region, Jinan,China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 701-704

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）