Calibration of radially symmetric distortion by fitting principal component

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

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

To calibrate radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that lines, which are supposed to be straight in the 3D real scene, are mapped to straight lines in the calibrated image. In this paper, this problem is treated as a fitting problem of the principal component in uncalibrated images, and an estimation procedure of calibration parameters is proposed based on the principal component analysis. 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Computer Analysis of Images and Patterns - 13th International Conference, CAIP 2009, Proceedings
ページ149-156
ページ数8
DOI
出版ステータスPublished - 2009 9 28
イベント13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 - Munster, Germany
継続期間: 2009 9 22009 9 4

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5702 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
CountryGermany
CityMunster
Period09/9/209/9/4

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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引用スタイル