• CN:11-2187/TH
  • ISSN:0577-6686

›› 2003, Vol. 39 ›› Issue (9): 93-96.

• 论文 • 上一篇    下一篇

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基于神经网络的立体视觉摄像机标定

吕朝辉;张兆杨;安平   

  1. 上海大学通信与信息工程学院
  • 发布日期:2003-09-15

CAMERA CALIBRATION FOR STEREO VISION BASED ON NEURAL NETWORK

Lü Chaohui;Zhang Zhaoyang;An Ping   

  1. Shanghai University
  • Published:2003-09-15

摘要: 摄像机标定是立体视觉研究的重要组成部分。根据神经网络与摄像机标定的特点,提出了基于神经网络的双目立体视觉摄像机标定方法,构建了三种不同的神经网络,并在试验中利用BP算法和实际数据对各种方法进行了分析和比较。

关键词: BP算法, 立体视觉, 摄像机标定, 神经网络

Abstract: Camera calibration is a important study part of stereo vision. The camera calibration method for binocular stereo vision which based on neural network is brought forward according to the characteristic of neural network and camera calibration. Three different networks are established and each method is analyzed and compared by using BP algorithm and real data in the experiment.

Key words: Neural network, BP algorithm, Camera calibration, Stereo vision

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