跳到主要导航 跳到搜索 跳到主要内容

TOCSAC: TOpology Constraint SAmple Consensus for fast and reliable feature correspondence

  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper aims at outliers screening for the feature correspondence in image matching. A novel robust matching method, called topology constraint sample consensus (TOCSAC), is proposed to speed up the matching process while keeping the matching accuracy. The TOCSAC method comprises of two parts, the first of which is the constraint of points order, which should be invariant to scale, rotation and view point change. The second one is a constraint of affine invariant vector, which is also used to validate in similar and affine transforms. Comparing to the classical algorithms, such as RANSAC (random sample consensus) and PROSAC (progressive sample consensus), the proposed TOCSAC can significantly reduce time cost and improve the performance for wide base-line image correspondence.

源语言英语
主期刊名Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
608-618
页数11
版本PART 2
DOI
出版状态已出版 - 2009
活动5th International Symposium on Advances in Visual Computing, ISVC 2009 - Las Vegas, NV, 美国
期限: 30 11月 20092 12月 2009

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
5876 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议5th International Symposium on Advances in Visual Computing, ISVC 2009
国家/地区美国
Las Vegas, NV
时期30/11/092/12/09

指纹

探究 'TOCSAC: TOpology Constraint SAmple Consensus for fast and reliable feature correspondence' 的科研主题。它们共同构成独一无二的指纹。

引用此