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2017 | OriginalPaper | Chapter

A Novel Camera Calibration Method for Binocular Vision Based on Improved RBF Neural Network

Authors : Weike Liu, Ju Huo, Xing Zhou, Ming Yang

Published in: Computer Vision

Publisher: Springer Singapore

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Abstract

Considering the problems that camera imaging model is complex and operation is complicated, a binocular camera calibration method of RBF neural network based on k-means and gradient method is proposed in this paper. The data center selection method based on the law of clustering error function can obtain hidden nodes and data centers of RBF network accurately. Dynamic learning of data centers, spread constants and weight values based on gradient method can contribute to improving the precision. Experimental results show that the proposed method has high precision and can be well applied in machine vision.

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Metadata
Title
A Novel Camera Calibration Method for Binocular Vision Based on Improved RBF Neural Network
Authors
Weike Liu
Ju Huo
Xing Zhou
Ming Yang
Copyright Year
2017
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7299-4_36

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