@inproceedings{277daff50dfd4b6aaecfcb93ae0c6cfb,
title = "Structured light 3-D vision inspection based on RBF neural network",
abstract = "The principle of structured light based 3-D vision inspection is. And a method of establishing calibration points for 3-D vision inspection system are discussed in detail. This method is based on a Flexible Calibration Target, and composed of a photo-electrical aiming device and a 3-D translation platform. The application of RBF (radial basis function) neural network to the establishment of the inspection model for the structured light based 3-D vision is described in detail. The inspection model of 3-D vision based on RBF neural network is successfully established using the calibration points. The model's training accuracy is 0.078mm, and the testing accuracy is 0.083mm.",
keywords = "3-D vision inspection, Calibration point, Flexible calibration target, RBF neural network, Structured light, Training and testing of network",
author = "Guangjun Zhang and Zhenzhong Wei and Xin Li",
year = "2002",
language = "英语",
isbn = "7560317685",
series = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
pages = "2/314--2/320",
editor = "T. Jiubin and W. Xianfang and T. Jiubin and W. Xianfang",
booktitle = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
note = "Proceedings of the second International Symposium on Instrumentation Science and Technology ; Conference date: 18-08-2002 Through 22-08-2002",
}