RESEARCH ON BINOCULAR CAMERA CALIBRATION TECHNOLOGY BASED ON THE BP NEURAL NETWORK ALGORITHM

被引：0

作者：

Wang Hong-Jiang ^{[1
]}

Zhao Ting-Ting ^{[1
]}

Zhang Wen-Qiang ^{[1
]}

Wang Nan

机构：

[1] Shenyang Inst Engn, Shenyang, Peoples R China

来源：

FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012) | 2012年

关键词：

camera calibration; binocular vision; neural network; BP algorithm;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Camera calibration is an important field of computer vision. It is widely used in 3d reconstruction, navigation, vision surveillance and other fields. It is the key technology of stereo vision. Binocular stereo vision camera calibration based on BP neural network is proposed on the basic of analysis the traditional calibration algorithm together with characteristics of camera calibration and neural networks. Finally, data generated by BP algorithm and the actual data were compared and analyzed through test.

引用

页码：135 / 142

页数：8

共 8 条

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