Fast parallel 3D stereo vision measurement system using an artificial neural network

Di Feng; Yingbai Yan; Naiguang Lu; Wenyi Deng

doi:10.1117/12.451037

6 December 2002 Fast parallel 3D stereo vision measurement system using an artificial neural network

Di Feng, Yingbai Yan, Naiguang Lu, Wenyi Deng

Proceedings Volume 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V; (2002) https://doi.org/10.1117/12.451037
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

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.

Citation Download Citation

Di Feng, Yingbai Yan, Naiguang Lu, and Wenyi Deng "Fast parallel 3D stereo vision measurement system using an artificial neural network", Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); https://doi.org/10.1117/12.451037

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