一种新的基于轮廓特征的指尖及手指指向检测方法

传统基于K-Curvature以及凸包理论的指尖识别算法往往存在严重漏检问题.针对此问题，提出一种新的基于手指轮廓特征的指尖及手指指向检测方法，关键步骤包括轮廓平滑、直线区域检测、手指指向及指尖定位三部分，可实现精确快速的指尖识别过程.通过对不同姿态手势进行实验验证，所提算法能在准确定位指尖位置的同时，得到手指指向信息.满足人机交互系统对指尖点及手指指向获取的实时性要求，并对不同手指指向具有较强的自适应性.

An Innovative Method for Fingertip and Finger Pointing Detection Based on Contour Features

K-Curvature and convex hull theory based finger detecting algorithm always suffering inaccurate fingertip capture. A new fingertip and finger pointing detection method was proposed which was based on finger contour features. There were three key steps in the method: contour smoothing， linear region detection， and fingers pointing and tips detection. Accurate and fast fingertip recognition processing could be realized. The proposed algorithm runs fast and accurately in fingertip recognition process. Through the experimental verification of different gestures， the fingertips position could be accurately located and the fingers pointing information could be obtained by the proposed algorithm. It can also meet the real-time requirements in this type of human-computer interaction system， and has strong adaptability to different finger direction.