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FEATURE DETECTION AND CORRESPONDENCE FOR CAMERA CALIBRATION

ZHIGANG ZHENG

Department of Automation, University of Science and Technology of China, Hefei, 230027, China

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ZHENGJUN ZHA

Department of Automation, University of Science and Technology of China, Hefei, 230027, China

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LONG HAN

Department of Automation, University of Science and Technology of China, Hefei, 230027, China

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ZENGFU WANG

Department of Automation, University of Science and Technology of China, Hefei, 230027, China

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https://doi.org/10.1142/S021987890800148XCited by:2 (Source: Crossref)

Abstract

This paper addresses the problem of highly accurate, highly speedy, more reliable and fully automatic camera calibration. Our objective is to construct a reliable and fully automatic system to supply a more robust and highly accurate calibration scheme. A checkerboard pattern is used as calibration pattern. After the corner points on image are detected, an improved Delaunay triangulation based algorithm is used to make correspondences between corner points on image and corner points on checkerboard in 3D space. In order to determine precise position of the actual corner points, a geometrical constraint based global curve fitting algorithm has been developed. The experimental results show that the geometrical constraint based method can improve remarkably the performance of the feature detection and camera calibration.

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