Calibration of radially symmetric distortion by fitting principal component

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 13th International Conference, CAIP 2009, Proceedings
Pages149-156
Number of pages8
DOIs
Publication statusPublished - 2009 Sep 28
Event13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 - Munster, Germany
Duration: 2009 Sep 22009 Sep 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5702 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

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

Keywords

  • Camera calibration
  • Fish-eye lens
  • Principal component analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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