| 基于神经网络的立体视觉摄像机标定 |
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| 引用本文： | 吕朝辉,张兆杨,安平.基于神经网络的立体视觉摄像机标定[J].机械工程学报,2003,39(9):93-96. |
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| 作者姓名： | 吕朝辉 张兆杨 安平 |
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| 作者单位： | 上海大学通信与信息工程学院,上海,200072 |
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| 基金项目： | 国家自然科学基金(60202015) |
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| 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。
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| 关 键 词： | 摄像机标定 神经网络 立体视觉 BP算法 |
| 修稿时间： | 2002年11月22 |
CAMERA CALIBRATION FOR STEREO VISION BASED ON NEURAL NETWORK |
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| Lu Chaohui Zhang Zhaoyang An Ping.CAMERA CALIBRATION FOR STEREO VISION BASED ON NEURAL NETWORK[J].Chinese Journal of Mechanical Engineering,2003,39(9):93-96. |
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| Authors: | Lu Chaohui Zhang Zhaoyang An Ping |
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| Affiliation: | Shanghai University |
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| 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. |
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| Keywords: | Camera calibration Neural network Stereo vision BP algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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