| 基于神经网络的视觉系统标定方法 |
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| 引用本文： | 张爱武,隋振,胡少兴,陈建军,李明哲. 基于神经网络的视觉系统标定方法[J]. 光学技术, 2001, 27(4): 302-304 |
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| 作者姓名： | 张爱武 隋振 胡少兴 陈建军 李明哲 |
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| 作者单位： | 1. 吉林工业大学辊锻研究所,
2. 吉林工业大学机械科学与工程学院, |
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| 基金项目： | 国家“8 63计划”CIMS项目资助 |
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| 摘 要： | 为了解决摄像机标定存在的若干问题 ,根据立体视觉原理 ,提出了基于神经网络的双目视觉系统标定方法。通过对双目摄像机的有效视场分析 ,确定了一次测量面积 ,并把像对视差作为网络输入 ,建立空间点世界坐标与图像坐标非线性映射关系 ,使系统不经过复杂的摄像机内外参数标定 ,就能直接提取物体的三维信息 ,增加了系统的灵活性。实验证明 ,该方法有效可行
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| 关 键 词： | 立体视觉 神经网络 视差 标定 |
| 文章编号： | 1002-1582(2001)04-0302-03 |
| 修稿时间： | 2000-11-29 |
Method for vision system calibration based on neural network |
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| ZHANG Ai wu ,SUI Zhen ,HU Shao xing ,CHEN Jian jun ,LI Ming zhe. Method for vision system calibration based on neural network[J]. Optical Technique, 2001, 27(4): 302-304 |
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| Authors: | ZHANG Ai wu SUI Zhen HU Shao xing CHEN Jian jun LI Ming zhe |
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| Affiliation: | ZHANG Ai wu 1,SUI Zhen 1,HU Shao xing 2,CHEN Jian jun 1,LI Ming zhe 1 |
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| Abstract: | On the basis of stereo vision, a method for visions system calibration based on neural network is proposed in this paper The once measurement area is calculated after the effective view field of binocular camera is analyzed Not only 3D information of the object is directly acquired, but also the relation between spatial points and image points is established by training the network without the parameters of the cameras calibrated, while the disparity of image pairs is inputted into the network Experiment results with panel curve surface are given to verify the method |
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| Keywords: | stereo vision neural network disparity calibration |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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