Papers

Peer-reviewed
2017

A Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017)
  • Kosuke Takahashi
  • ,
  • Akihiro Miyata
  • ,
  • Shohei Nobuhara
  • ,
  • Takashi Matsuyama

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
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
  • DOI : 10.1109/CVPR.2017.46
  • ISSN : 1063-6919
  • ISBN : 9781538604571
  • DBLP ID : conf/cvpr/TakahashiMNM17
  • Web of Science ID : WOS:000418371400039

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