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Proceedings Paper

High-performance camera calibration algorithm
Author(s): Hong Fan; Baozong Yuan
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Paper Abstract

The paper addresses a new high performance camera calibration algorithm for 3-D computer vision systems, which is named as DLTEA-II. In this algorithm, the lens distortion model is modified by considering the difference of pixel size in digital images, so as to make the model more suitable for the correction of lens distortion in the digital image case. The camera model and revised lens distortion parameters are solved by DLT (Direct Linear Transformation) method. A third-order polynomial to fit image residual errors is used for compensating systematic errors in the algorithm, which improves camera calibration accuracy further. In order to reduce the effect of image location errors to camera calibration, we explore the LOG zero-crossing detection and subpixel location algorithms to detect the control points in the digital image. Experiments show that a stereo vision system with off-the-shelf CCD cameras (resolution 512 by 512) and TV lenses (f equals 16 mm or 25 mm) calibrated by DLTEA-II has the average relative accuracy of 1/10000 over the field of view (300 mm by 300 mm) and over the depth (0.8 m approximately 0.9 m). The image residual error is less than 0.1 pixel. The experiment results with using lenses of different focal lengths are also reported, in which most of average accuracy is about 1/8000 approximately 1/10000.

Paper Details

Date Published: 22 October 1993
PDF: 12 pages
Proc. SPIE 2067, Videometrics II, (22 October 1993); doi: 10.1117/12.162115
Show Author Affiliations
Hong Fan, Linkoping Univ. (Sweden)
Baozong Yuan, Northern Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 2067:
Videometrics II
Sabry F. El-Hakim, Editor(s)

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