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| 基于多判据的多目视觉手势立体姿态检测系统研究 |
| Study on 3D hand gesture in multi camera inspection system based on multi criterion |
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| DOI： |
| 中文关键词: 计算机视觉 手势姿态 多目视觉 harris角点检测 极线约束 |
| 英文关键词:computer stereovision hand gesture multi camera system harris corner detection epipolar constraint |
| 基金项目: |
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| 摘要点击次数: 3430 |
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| 中文摘要: |
| 为了精确识别人手姿态用于机器手控制,文中讨论一种基于计算机视觉的手势立体姿态检测的新方法。该方法利用多目视觉之间的配合,有效地解决了检测识别时手部关键节点互相遮挡的关键问题。采用了自适应阈值分割、harris角点检测、外极线约束等几种合理、有效的点的匹配算法,对不同摄像机拍摄到的手部关键节点进行排序,这样不仅解决了特征点的位置归属问题,也解决了图像与对应点的匹配问题。通过实验表明:对手部关键节点的检测达到了满意的结果。 |
| 英文摘要: |
| The detection method of hand gesture based on computer stereovision theory is discussed, the method is used to control the robot accurately. The sheltering problem of key point in the fingers is solved effectively by using the multi camera system method. Some constraints and several reasonable and effective algorithms of matching, such as self adapted threshold, harris corner detection and epipolar constraint, are used to sort and distinguish the key points on fingers in the different camera pictures. Because of using these methods, not only the location of the key points, but also the matching problem of them are solved. The experimental results show that detection of hand gesture are satisfactory. |
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