A camera calibration using 4 point-targets

Sei Ichiro Kamata, Richard O. Eason, Masafumi Tsuji, Eiji Kawaguchi

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

4 Citations (Scopus)

Abstract

A method for determining the position of a camera using 4 point-targets is studied. We use 3 rotation angles and translation vector to describe the position of the camera for a pinhole model. For solving the 6 unknown parameters, a minimum of six point-targets is required to uniquely define the matrix (rotation and translation). However, we show that by using the properties of the matrix we can reduce this number to four. In the experiment we discuss the error properties of this method using real image data.

Original languageEnglish
Title of host publicationConference A
Subtitle of host publicationComputer Vision and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages550-553
Number of pages4
ISBN (Print)081862910X
DOIs
Publication statusPublished - 1992 Jan 1
Externally publishedYes
Event11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
Duration: 1992 Aug 301992 Sept 3

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Other

Other11th IAPR International Conference on Pattern Recognition, IAPR 1992
Country/TerritoryNetherlands
CityThe Hague
Period92/8/3092/9/3

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint

Dive into the research topics of 'A camera calibration using 4 point-targets'. Together they form a unique fingerprint.

Cite this