国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

The hand gesture recognition system is susceptible to the light conditions and complex environments by using ordinary camera, so the fingertips are always missed and misjudged. To these problems, a new method for fingertip detection and palm point extraction of hand gesture is proposed based on Kinect skeleton information and depth image. Creating a Kinect control on the DRVI platform and Analyzing the information of the skeleton and depth image is acquired by Kinect sensor, the technology and method of coordinate mapping ,image segmentation and distance conversion can use to segment the hand area on the depth image, which need morphological processing .After the number of fingertips and the location for hand gesture being detection with combining convex hull and K-curvature algorithm, calculating the HOG feature descriptor generated by the point set on the contours of different gesture hulls.Finally,the HOG feature descriptor is applied to identify six scheduled number hand gesture. The experiment results show that the proposed method can identify fingertips in complex environments and different lighting conditions.