根据手指几何形状大致平行的特性，本文提出一种基于曲率和平行向量
来进行手指检测的新方法。该方法首先利用深度图像信息从复杂背景环境中迅速分割出手
部；然后依据形态学操作和中值滤波进行平滑处理后提取边缘，再根据曲率定位拟指尖点；
最后采用平行向量特性排除误检点。实验结果表明，该方法在不同手指运动状态，不同光照
强度，以及复杂环境背景下均能实时定位指尖位置，指尖位置识别率可达98.64%。

According to the feature of the fingers' geometry being roughly parallel, this paper
proposes a new method based on curvature and paralleled-vector for fingertip detection. This
method first uses depth image information from complex background environment to segment
hand quickly, and then based on morphological operations and median filter for smoothing, edges
can be extracted. Subsequently, we can use curvature to locate the position of the virtual
fingertips. Finally the paralleled-vector feature is adopted to rule out error detection points. The
experimental results show that the method in different finger motions, different light intensities,
and complex environment can locate the position of the fingertips. Besides, the fingertips
detection rate can reach 98.64%.

指尖检测,  深度图像,  曲率,  平行向量 

fingertip detection,  depth image,  curvature,  paralleled-vector