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Proceedings Paper

Semiautomatic calibration of the general camera model for stereovision
Author(s): Eric Sung; Harcharan Singh; Daniel H. Tan
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Paper Abstract

This paper presents a semi—automatic method to calibrate a three—camera stereovision set-up accurately and simply. The algorithm handles both initial calibration and on—line self—calibration and assumes the availability of a reliable set of matched image points. No 3—D world coordinate control points are available to confirm the validity of the self—calibration. A new general algorithm is introduced based on the minimum distance measure which provides the necessary criterion to make self— calibration possible. Convergence is obtained for small changes in camera parameter by optimization of the minimum distances over the 22 parametric space. Ill—conditioning problem is solved by a partitioning method. Comparisons with SYD approach are made. Synthetic tests were performed and the method proposed gave satisfactory results.

Paper Details

Date Published: 1 March 1991
PDF: 13 pages
Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); doi: 10.1117/12.25348
Show Author Affiliations
Eric Sung, Nanyang Technological Institute (Singapore)
Harcharan Singh, Nanyang Technological Institute (Singapore)
Daniel H. Tan, Nanyang Technological Institute (Singapore)

Published in SPIE Proceedings Vol. 1385:
Optics, Illumination, and Image Sensing for Machine Vision V
Donald J. Svetkoff; Kevin G. Harding; Gordon T. Uber; Norman Wittels, Editor(s)

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