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Pose determination from one point and two coplanar line features
Liu C(刘昶); Zhu F(朱枫); Jin, Zenghui; Xia RB(夏仁波)
Department光电信息技术研究室
Conference Name8th International Conference on Intelligent Computing Theories and Applications, ICIC 2012
Conference DateJuly 25, 2012 - July 29, 2012
Conference PlaceHuangshan, China
Author of SourceIEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Publication PlaceHeidelberg, Germany
2012
Pages577-584
Indexed ByEI ; CPCI(ISTP)
EI Accession number20123415354355
WOS IDWOS:000314766200073
Contribution Rank1
ISSN0302-9743
ISBN978-3-642-31575-6
KeywordComputer Vision Intelligent Computing Vision
AbstractMonocular pose determination from point and line mixed features is a typical problem in computer vision. Given one point feature and two coplanar line features on an object and their correspondences on the image plane of a calibrated camera, the pose parameters between the camera and the object can be calculated. The problem is studied in two cases that two lines are parallel or not. The solution number properties of the problem are proved according to the geometric relationship of the three features, and generally it has two solutions at most. The closed form solution of the problem is also presented. The results provide a new method for pose determination using monocular vision. © 2012 Springer-Verlag.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/9850
Collection光电信息技术研究室
Affiliation1.Shenyang Institute of Automation, CAS, Shenyang, China
2.Shenyang Ligong University, Shenyang, China
3.Graduate School of the Chinese Academy of Sciences, Beijing, China
4.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang, China
5.Military Representative Office of Air Force in Shenyang, Shenyang, China
Recommended Citation
GB/T 7714
Liu C,Zhu F,Jin, Zenghui,et al. Pose determination from one point and two coplanar line features[C]//IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China. Heidelberg, Germany:Springer Verlag,2012:577-584.
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