基于双目视觉的人手定位与手势识别系统研究

Research on location and gesture recognition of hand based on binocular stereo-vision

提出了一种新的人手特征点提取方法,该方法将人手的质心作为匹配点,根据双目视觉定位数学模型计算目标位置信息,同时通过图像分割获取人手轮廓,利用轮廓凸包点特征来识别不同手势。在此基础上,研究设计了一种光学人手定位与手势识别系统,该系统在实时定位空间人手三维位置的同时,能够识别出相应的手势,可将其作为虚拟手的驱动接口,实现对虚拟物体的抓取、移动和释放操作。

A practical method of extraction feature points of hand is proposed, which makes the center of mass of hand as the match point and calculates the location information of the target based on mathematical model of binocular visual positioning; while the convex hull points of hand contour using the technologies of image segmentation, can be used to identify the different gestures. Furthermore, a system, both locating the three-dimensional position space of hand and simultaneously identifying the appropriate gestures, is designed, which can serve as the interface to driver virtual hand completing manipulation of grasping, moving and releasing virtual objects.