1 March 1991 Semiautomatic calibration of the general camera model for stereovision
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Proceedings Volume 1385, Optics, Illumination, and Image Sensing for Machine Vision V; (1991); doi: 10.1117/12.25348
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric Sung, Harcharan Singh, Daniel H. Tan, "Semiautomatic calibration of the general camera model for stereovision", Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); doi: 10.1117/12.25348; https://doi.org/10.1117/12.25348
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KEYWORDS
Calibration

Cameras

Distance measurement

Motion models

Visual process modeling

Machine vision

Computing systems

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