| 基于图像的焊件深度信息提取 |
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| 引用本文： | 马国红,朱政强,汪鎏,黄凌翔,刘国权. 基于图像的焊件深度信息提取[J]. 上海交通大学学报, 2008, 0(Z1) |
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| 作者姓名： | 马国红 朱政强 汪鎏 黄凌翔 刘国权 |
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| 作者单位： | 南昌大学机器人研究所 |
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| 摘 要： | 阐述了一种简化的基于竞争匹配机制的双目立体图像匹配算法.通过对摄像机安装位置进行配置,使得双目视觉传感器的模型大为简化.使用竞争匹配机制对图像中的对应点进行匹配.然后把各个点在图像上的坐标系代入简化后的传感器模型,计算出三维焊缝的空间坐标.最后在VC 平台上对所介绍的方法编程实现,并通过双目测距实验证明该算法的实时性和可靠性.
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| 关 键 词： | 双目视觉 竞争匹配 深度提取 |
Depth Information Extraction of Welding Piece on Binocular |
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| MA Guo-hong,ZHU Zheng-qiang,WANG Liu,HUANG Ling-xiang,LIU Guo-quan. Depth Information Extraction of Welding Piece on Binocular[J]. Journal of Shanghai Jiaotong University, 2008, 0(Z1) |
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| Authors: | MA Guo-hong ZHU Zheng-qiang WANG Liu HUANG Ling-xiang LIU Guo-quan |
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| Abstract: | This paper described a simplified binocular images matching algorithm based on competition and match mechanism.By setting down the position of CCD sensor,a model of binocular sensor was simplified.With this match way,the corresponding point of image was processed and three dimension space-coordinate was calculated after different point positions were sent to that simplified model.The experiment with this algorithm shows that this algorithm has good reliability and works well.It can extract three-dimensional information of welding piece.The research supplies a basement for our future control. |
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| Keywords: | binocular competition and match depth extraction |
| 本文献已被 CNKI 维普 等数据库收录！ |
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