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Research of Camera Calibration Based on BP Neural Network

  • Yongning Guo
  • Lihua Huang
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)

Abstract

Camera calibration is key technologies of three-dimensional image reconstruction, the traditional binocular camera calibration algorithm needs to create complex mathematical models, while the neural network can effectively handle non-linear mapping problem. In this paper, a method of camera calibration based on BP neural network is proposed, which well describe the non-linear relationship between the characteristics in the three-dimensional point coordinates and the corresponding pixel camera among binocular vision. The experimental results show that neural network-based calibration method for binocular vision can get a higher calibration accuracy.

Keywords

Three-dimensional reconstruction stereoscopic vision BP neural network camera calibration 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Mathematics and Computer ScienceFuqing Branch of Fujian Normal UniversityFuqingChina
  2. 2.Library of Fuqing BranchFujian Normal UniversityFuqingChina

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