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Proceedings Paper

Camera calibration for reverse engineering
Author(s): Ming Kong; Shi-min Wang; Yi Lu; Zai Luo; Qianjing Tang
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Paper Abstract

3D surface reconstruction plays an important role in reverse engineering, which can be implemented by machine vision techniques. In the techniques, the calibration of the intrinsic and extrinsic parameters of a camera is very crucial to ensure the 3D reconstruction accuracy. This paper will present a neural network method for the calibration. This method uses weight matrixes to calculate the transformation matrix of the 3D points in a world frame against their corresponding 2D image pixels, and then the intrinsic and extrinsic parameters can be readily extracted from the matrix. The experimental results have shown that the method can obtain a precise calibration result.

Paper Details

Date Published: 16 October 2006
PDF: 6 pages
Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 628015 (16 October 2006); doi: 10.1117/12.716146
Show Author Affiliations
Ming Kong, China Jiliang Univ. (China)
Southeast Univ. (China)
Shi-min Wang, China Jiliang Univ. (China)
Southeast Univ. (China)
Yi Lu, China Jiliang Univ. (China)
Southeast Univ. (China)
Zai Luo, China Jiliang Univ. (China)
Southeast Univ. (China)
Qianjing Tang, China Jiliang Univ. (China)
Southeast Univ. (China)


Published in SPIE Proceedings Vol. 6280:
Third International Symposium on Precision Mechanical Measurements
Kuang-Chao Fan; Wei Gao; Xiaofen Yu; Wenhao Huang; Penghao Hu, Editor(s)

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