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应用科学学报 ›› 2009, Vol. 27 ›› Issue (6): 580-585.

• 信号与信息处理 • 上一篇    下一篇

非穿戴指势手指三维定位

管业鹏1;2   

  1. 1. 上海大学通信与信息工程学院，上海200072
    2. 新型显示技术及应用集成教育部重点实验室，上海200072
  • 收稿日期:2008-10-30 修回日期:2009-07-20 出版日期:2009-11-25 发布日期:2009-11-30
  • 作者简介:管业鹏，教授，研究方向：计算机视觉，E-mail: ypguan@shu.edu.cn
  • 基金资助:

    国家自然科学基金(No.60872117)资助项目

Three Dimension Localization of Non-wearable Pointing Arm

GUAN Ye-peng1;2   

  1. 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
    2. Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai 200072, China
  • Received:2008-10-30 Revised:2009-07-20 Online:2009-11-25 Published:2009-11-30

PDF

1324

被引次数

2

摘要：

根据小波变换在时域和空域均具有优异的局部化特征，基于背景差分，利用小波多尺度特性进行小波多尺度
变换，提取视频运动对象并抑制阴影. 根据手指在图像中的空间位置关系，基于阈值分割与色彩信息融合方法，提取手
指区域. 融合手指指尖特征点、指势手指的手臂中心轴线及其外极线的多几何约束的立体匹配策略，采用求解反对应方
法，确保手指特征匹配的正确性. 实验验证了文中所提方法能有效定位指势手指的三维信息.

关键词: 运动定位, 视频跟踪, 目标分割, 立体视觉, 匹配对应

Abstract:

 As the wavelet transform has outstanding local characteristics both in temporal and spatial domains,
moving objects are extracted based on background subtraction using wavelet multi-scale transform. According to the
relative spatial position of pointing arm finger in a 2D image, a method for the extraction of pointing arm region is
developed based on fusion of threshold segmentation and color information. In processing the correspondence problem
of finger tip pointing, a stereo matching technique is used based on geometric constraints among the pointing arm
finger tip, central axis of the pointing arm, and the corresponding epipolar line. Reverse correspondence is adopted
to ensure validity of the processed correspondence. Experimental results show that the described algorithm is robust
and 3D information of the pointing arm can be determined efficiently.

Key words: movement localization, video tracking, object segmentation, stereo vision, correspondence

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