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| 嵌入正交权值神经网络在摄像机内外参数标定中的应用 | |
| 引用本文： | 葛动元,姚锡凡,向文江.嵌入正交权值神经网络在摄像机内外参数标定中的应用[J].光学精密工程,2011,19(11):2782-2790. |
| 作者姓名： | 葛动元 姚锡凡 向文江 |
| 作者单位： | 1. 华南理工大学机械与汽车工程学院,广东广州510640;邵阳学院机械与能源工程系,湖南邵阳422004 2. 华南理工大学机械与汽车工程学院,广东广州,510640 3. 邵阳学院机械与能源工程系,湖南邵阳,422004 |
| 基金项目： | 国家自然科学基金资助项目(No.51175187); 国家863高技术研究发展计划资助项目(No.2007AA04Z111); 湖南省自然科学基金资助项目(No.09JJ6092); 湖南省教育厅资助科研项目(No.09B092) |
| 摘 要： | 针对机器视觉在某些应用场合对摄像机内外参数的需要,提出了一种基于内嵌正交权值矩阵神经网络的摄像机标定方法.首先,使设计的神经网络的权值分别与摄像机的外参数和内参数相对应,即使得所设计的神经网络与摄像机的物理模型一致.正交权值矩阵的生成在迭代中相当于遗传算法的上一次变异,系统的性能指标为由网络输出组成的矢量与对应特征点投... |
| 关 键 词： | 机器视觉 摄像机标定 正交神经网络 遗传退火算法 哈明距离 |
Application of neural network with embedded orthogonal weight to calibration of camera's intrinsic and extrinsic parameters |
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| GE Dong-yuan,YAO Xi-fan,XIANG Wen-jiang.Application of neural network with embedded orthogonal weight to calibration of camera's intrinsic and extrinsic parameters[J].Optics and Precision Engineering,2011,19(11):2782-2790. | |
| Authors: | GE Dong-yuan YAO Xi-fan XIANG Wen-jiang |
| Affiliation: | GE Dong-yuan1,2,YAO Xi-fan1,XIANG Wen-jiang2(1.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China,2.Department of Mechanical and Energy Engineering,Shaoyang University,Shaoyang 422004,China) |
| Abstract: | According to the intrinsic and extrinsic parameters of a camera to be needed in some applications for machine vision,a method based on the neural network with embedded orthogonal weight matrix is proposed for camera calibration.Firstly,the neural network with the embedded orthogonal weight matrix is structured,whose weights are corresponding to the camera extrinsic parameters and intrinsic parameters.Thus,the structured neural network coincides with the model of camera.The generation of orthogonal weight ma... |
| Keywords: | machine vision camera calibration orthogonal neural network genetic-annealing algorithm Hamming distances |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
