2017
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017)
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- First page
- 360
- Last page
- 368
- Language
- English
- Publishing type
- Research paper (international conference proceedings)
- DOI
- 10.1109/CVPR.2017.46
- Publisher
- IEEE
This paper proposes a new extrinsic calibration of kaleidoscopic imaging system by estimating normals and distances of the mirrors. The problem to be solved in this paper is a simultaneous estimation of all mirror parameters consistent throughout multiple reflections. Unlike conventional methods utilizing a pair of direct and mirrored images of a reference 3D object to estimate the parameters on a per-mirror basis, our method renders the simultaneous estimation problem into solving a linear set of equations. The key contribution of this paper is to introduce a linear estimation of multiple mirror parameters from kaleidoscopic 2D projections of a single 3D point of unknown geometry. Evaluations with synthesized and real images demonstrate the performance of the proposed algorithm in comparison with conventional methods.
- Link information
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- DOI
- https://doi.org/10.1109/CVPR.2017.46
- DBLP
- https://dblp.uni-trier.de/rec/conf/cvpr/TakahashiMNM17
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000418371400039&DestApp=WOS_CPL
- URL
- https://dblp.uni-trier.de/conf/cvpr/2017
- URL
- https://dblp.uni-trier.de/db/conf/cvpr/cvpr2017.html#TakahashiMNM17
- ID information
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- DOI : 10.1109/CVPR.2017.46
- ISSN : 1063-6919
- ISBN : 9781538604571
- DBLP ID : conf/cvpr/TakahashiMNM17
- Web of Science ID : WOS:000418371400039