标题:A rapid and efficient feature point detection and matching algorithm
作者:Ding, Xiaoling; Zhao, Qiang; Li, Yibin; Ma, Xin
作者机构:[Ding, Xiaoling; Zhao, Qiang; Li, Yibin; Ma, Xin] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.; [Ding, Xiaoling] 更多
会议名称:3rd International Conference on Machine Design and Manufacturing Engineering (ICMDME)
会议日期:MAY 24-25, 2014
来源:MACHINE DESIGN AND MANUFACTURING ENGINEERING III
出版年:2014
卷:607
页码:641-646
DOI:10.4028/www.scientific.net/AMM.607.641
关键词:object feature detection; SURF algorithm; orient FAST detector; rotation; BRIEF descriptor
摘要:In the field of computer vision research, object feature detection and matching algorithm become a hot. Aiming at SIFT algorithm and SURF algorithm cannot meet the needs of real-time application, a feature point detection and matching algorithm based on orient FAST detector and rotation BRIEF descriptor is used. The experiments demonstrate that, this method not only remains the advantages of SURF but also improves the detection speed, and it can fully applicable to the field of computer vision to detect moving targets.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905853479&doi=10.4028%2fwww.scientific.net%2fAMM.607.641&partnerID=40&md5=0a9c88fbd72feb237ccd25fe2ed0f2eb
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