Self-calibration of radially symmetric distortion by model selection

Jun Fujiki*, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

For self-calibration of general radially symmetric distortion (RSD) of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that curved lines, which are supposed to be straight in the real-world, are mapped to straight lines in the calibrated image, which is assumed to be taken by an ideal pin-hole camera. In this paper, a method of calibrating RSD is introduced base on the notion of principal component analysis (PCA). In the proposed method, the distortion function, which maps a distorted image to an ideal pin-hole camera image, is assumed to be a linear combination of a certain class of basis functions, and an algorithm for solving its coefficients by using line patterns is given. Then a method of selecting good basis functions is proposed, which aims to realize appropriate calibration in practice. Experimental results for synthetic data and real images are presented to demonstrate the performance of our calibration method.

本文言語English
ホスト出版物のタイトルProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
ページ1812-1815
ページ数4
DOI
出版ステータスPublished - 2010
イベント2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
継続期間: 2010 8月 232010 8月 26

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
国/地域Turkey
CityIstanbul
Period10/8/2310/8/26

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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