科研成果详情

题名Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses
作者
发表日期2016-12-09
会议名称29th IEEE Conference on Computer Vision and Pattern Recognition,
会议录名称Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN1063-6919
卷号2016-December
页码1737-1744
会议日期2016-6-26 -2016-71
会议地点Las Vegas
摘要

How to avoid ambiguity is a challenging problem for conic-based homography estimation. In this paper, we address the problem of homography estimation from two separate ellipses. We find that any two ellipses have a unique common self-polar triangle, which can provide three line correspondences. Furthermore, by investigating the location features of the common self-polar triangle, we show that one vertex of the triangle lies outside of both ellipses, while the other two vertices lies inside the ellipses separately. Accordingly, one more line correspondence can be obtained from the intersections of the conics and the common self-polar triangle. Therefore, four line correspondences can be obtained based on the common self-polar triangle, which can provide enough constraints for the homography estimation. The main contributions in this paper include: (1) A new discovery on the location features of the common self-polar triangle of separate ellipses. (2) A novel approach for homography estimation. Simulate experiments and real experiments are conducted to demonstrate the feasibility and accuracy of our approach.

DOI10.1109/CVPR.2016.192
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收录类别CPCI-S
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science ; Artificial Intelligence
WOS记录号WOS:000400012301084
Scopus入藏号2-s2.0-84986325946
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6388
专题理工科技学院
作者单位
1.Department of Computer Science,Hong Kong Baptist University,Hong Kong
2.United International College,BNU-HKBU,China
第一作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Huang, Haifei,Zhang, Hui,Cheung, Yiu Ming. Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses[C], 2016: 1737-1744.
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