Camera calibration using rectangular textures

Jacky Baltes*

*Corresponding author for this work

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

3 Citations (Scopus)


This paper describes a practical method for the camera calibration given a single image of a regular texture. This paper uses the calibration of images of skyscrapers as an example. The paper introduces two algorithms for the assignment of real world coordinates to feature points. The first algorithm selects five closely connected feature points and determines the orientation of the rectangular pattern. The second algorithm iteratively sorts the feature points and assigns real world coordinates to them. Lastly, the Tsai camera calibration algorithm is used to compute the camera parameters.

Original languageEnglish
Title of host publicationRobot Vision - International Workshop RobVis 2001, Proceedings
EditorsReinhard Klette, Shmuel Peleg, Gerald Sommer
PublisherSpringer Verlag
Number of pages7
ISBN (Print)3540416943
Publication statusPublished - 2001
Externally publishedYes
EventInternational Workshop on Robot Vision, RobVis 2001 - Auckland, New Zealand
Duration: 2001 Feb 162001 Feb 18

Publication series

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


OtherInternational Workshop on Robot Vision, RobVis 2001
Country/TerritoryNew Zealand

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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