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Proceedings Paper

Fast parallel 3D stereo vision measurement system using an artificial neural network
Author(s): Di Feng; Yingbai Yan; Naiguang Lu; Wenyi Deng
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Paper Abstract

With a Damman grating and an artificial neural network back-propagation network (BP network), a fast and parallel 3-D non-contact measurement method using a stereo vision system is introduced. Some detail discussions on optical setup, data acquisition and some method to raise the training precision of BP network are proposed. Experiments have been completed and the results proved the feasibility of the method. Using the method, one can get the object profile information rapidly, deal with data almost parallel and need not to consider the effect of lens distortion.

Paper Details

Date Published: 6 December 2002
PDF: 6 pages
Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); doi: 10.1117/12.451037
Show Author Affiliations
Di Feng, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)
Naiguang Lu, Beijing Institute of Machinery (China)
Wenyi Deng, Beijing Institute of Machinery (China)


Published in SPIE Proceedings Vol. 4787:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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