Efficient and accurate camera calibration technique for 3-D computer vision

Sheng Wen Shih, Yi Ping Hung, Wei Song Lin

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

6 Citations (Scopus)

Abstract

In this paper we propose a new technique for calibrating a camera with very high accuracy and low computational cost. The geometric camera parameters considered include camera position, orientation, focal length, radial lens distortion, pixel size, and optical axis piercing point. With our method, the camera parameters to be estimated are divided into two parts: the radial lens distortion coefficient κ and a composite parameter vector c composed of all the above geometric camera parameters other than κ. Instead of using nonlinear optimization techniques, the estimation of κ is transformed into an eigenvalue problem of a 8 × 8 matrix. Our method is fast since it requires only linear computation. It is accurate since the effect of the lens distortion is considered and all the information contained in the calibration points is used. Computer simulation and real experiment have shown that the performance of our calibration method is better than that of the well-known method proposed by Tsai.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsDonald J. Svetkoff
PublisherPubl by Int Soc for Optical Engineering
Pages133-145
Number of pages13
ISBN (Print)0819407518
Publication statusPublished - 1992
EventOptics, Illumination, and Image Sensing for Machine Vision VI - Boston, MA, USA
Duration: Nov 14 1991Nov 15 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1614
ISSN (Print)0277-786X

Conference

ConferenceOptics, Illumination, and Image Sensing for Machine Vision VI
CityBoston, MA, USA
Period11/14/9111/15/91

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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