Robust estimation for the fundamental matrix based on lts and bucketing
Huang YJ(黄以君); Liu WJ(刘伟军)
2009
会议名称7th International Conference on Wavelet Analysis and Pattern Recognition
会议日期July 12-15, 2009
会议地点Baoding, China
关键词computer vision fundamental matrix robust estimate LTS bucketing technique
页码486-491
中文摘要The fundamental matrix is an effective tool to analyze epipolar geometry. An accurate solution for obtaining fundamental matrices is the basic requirement in many applications of computer vision. When noises and outliers exist in the set of initial match points, the estimation of the fundamental matrix becomes to a tough mission owing to the invalidation of normal linear and iterative methods. This paper proposes a novel robust technique for estimating the fundamental matrix by combining bucketing technique and the least trimmed squares(LT S) regression into one intelligent algorithm. The new algorithm solves the problem of even distribution of sample data. Also, it eliminates limitations on the proportion of outliers and the requirement a predefined threshold. Comparing with traditional robust methods, the proposed approach is proved to be accuracy and robust by simulation and real image experiments.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Hebei Univ, IEEE Syst, Man & Cybernet Soc, Chingqing Univ, S China Univ Technol, Hong Kong Baptist Univ, Hebei Univ Sci & Technol
会议录PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-1-4244-3727-6
WOS记录号WOS:000275106100092
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/7915]  
专题沈阳自动化研究所_装备制造技术研究室
推荐引用方式
GB/T 7714
Huang YJ,Liu WJ. Robust estimation for the fundamental matrix based on lts and bucketing[C]. 见:7th International Conference on Wavelet Analysis and Pattern Recognition. Baoding, China. July 12-15, 2009.
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