The on-line calibration research of the picking robot binocular vision system

被引:0
作者
机构
[1] Key Laboratory of Key Technology on Agricultural Machine and Equipment, South China Agricultural University, Ministry of Education
来源
Chen, K. (chenkeyin10@126.com) | 1600年 / Trans Tech Publications Ltd卷 / 522期
关键词
Camera calibration; Hough transform; Image segmentation; Stereo vision;
D O I
10.4028/www.scientific.net/KEM.522.634
中图分类号
学科分类号
摘要
In the picking robot binocular vision systems research, the camera calibration is often an indispensable step and these basements to locate the target of the object and rebuild the three-dimensional construction based on the robot stereo vision for the follow-up study. So, searching for a high accuracy and simple camera calibration algorithm is of great significance and necessary. However, For most of these camera calibration algorithms, it is necessary to establish a reference object, namely the target, in front of the camera at present, but posing the target is very not convenient or almost impossible in some cases. Therefore, a picking robot online calibration algorithm based on the vision scene was proposed by studying the work environment characteristics of the picking robot binocular vision system and the invariant projective geometry. The experimental results showed that this algorithm's calibration accuracy and precision good meets to the requirement of the robot binocular vision system camera calibration in the complex environment. © (2012) Trans Tech Publications, Switzerland.
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页码:634 / 637
页数:3
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