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Proceedings Paper

Fault diagnosis of vision module on intelligent agent
Author(s): Xiaojun Tan; Wei Shen; Zhihao Guo; Wei Liu
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Paper Abstract

An algorithm of fault diagnosis is proposed for vision module on the intelligent agent. The basic theory to generate the expected area is of the fundamental matrix, which is an important concept of epipolar geometry. The proposed method can be performed in real time to judge whether the system is in good health. Compared with the conventional methods, our method doesn’t need additional sensors and requires less CPU load. Experiment shows that the method is reasonable.

Paper Details

Date Published: 24 February 2005
PDF: 8 pages
Proc. SPIE 5679, Machine Vision Applications in Industrial Inspection XIII, (24 February 2005); doi: 10.1117/12.586066
Show Author Affiliations
Xiaojun Tan, Sun Yat-Sen Univ. (China)
Wei Shen, Sun Yat-Sen Univ. (China)
Zhihao Guo, Sun Yat-Sen Univ. (China)
Wei Liu, Sun Yat-Sen Univ. (China)

Published in SPIE Proceedings Vol. 5679:
Machine Vision Applications in Industrial Inspection XIII
Jeffery R. Price; Fabrice Meriaudeau, Editor(s)

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