| 新型双目视觉系统定位 |
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| 引用本文： | 潘峥嵘,周立萍,张宁,朱翔.新型双目视觉系统定位[J].计算机系统应用,2013,22(7):113-116,112. |
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| 作者姓名： | 潘峥嵘 周立萍 张宁 朱翔 |
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| 作者单位： | 兰州理工大学 电气工程与信息工程学院, 兰州 730050;兰州理工大学 电气工程与信息工程学院, 兰州 730050;兰州理工大学 电气工程与信息工程学院, 兰州 730050;兰州理工大学 电气工程与信息工程学院, 兰州 730050 |
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| 基金项目： | 甘肃省科技计划(1011NKCA071) |
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| 摘 要： | 采用普通CCD摄像机设计一种新型双目视觉系统, 针对该系统定位精度不高的问题, 提出一种改进的投影算法对空间点进行定位. 该算法在原有投影算法的基础上增加显隐式畸变校正, 通过将校正后的参数代入到投影算法中进行位置坐标求取, 提高系统的定位精度. 实验结果显示: 在距离为2600 mm范围内, 世界坐标轴Xw、Yw、Zw三个方向的最大误差分别为0.200 mm、2.300 mm、35.432 mm. 与单纯采用投影算法相比, 改进后的定位算法误差更小,能够满足系统定位精度要求.
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| 关 键 词： | 摄像机标定 视觉定位 立体视觉 移动机器人 |
| 收稿时间： | 2012/12/20 0:00:00 |
| 修稿时间： | 2013/1/21 0:00:00 |
Localization of New Binocular Vision System |
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| PAN Zheng-Rong,ZHOU Li-Ping,ZHANG Ning and ZHU Xiang.Localization of New Binocular Vision System[J].Computer Systems& Applications,2013,22(7):113-116,112. |
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| Authors: | PAN Zheng-Rong ZHOU Li-Ping ZHANG Ning and ZHU Xiang |
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| Affiliation: | School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China |
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| Abstract: | A new type of binocular vision system was designed used common CCD cameras. Because of positioning accuracy is not high, the experiment used the modified projection algorithm to get the position messages. This algorithm joined the explicit-implicit distortion correction method in the projection algorithm. After correction, the positioning accuracy of the whole system was improved. The experimental results showed that: In the range of 2600 mm, three direction errors in the world coordinate axis Xw, Yw, Zw are 0.200 mm, 2.300 mm and 35.432 mm. Comparing projection algorithm, the errors of the improved positioning algorithm are smaller. The new method can satisfy the system accuracy requirements. |
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| Keywords: | camera calibration visual orientation stereo vision mobile-robot |
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