Title
Gesture recognition based on binocular vision
Abstract
A convenient and effective binocular vision system is set up. Gesture information can be accurately extract from the complex environment with the system. The template calibration method is used to calibrate the binocular camera and the parameters of the camera are accurately obtained. In the phase of stereo matching, the BM algorithm is used to quickly and accurately match the images of the left and right cameras to get the parallax of the measured gesture. Combined with triangulation principle, resulting in a more dense depth map. Finally, the depth information is remapped to the original color image to realize three-dimensional reconstruction and three-dimensional cloud image generation. According to the cloud image information, it can be judged that the binocular vision system can effectively segment the gesture from the complex background.
Year
DOI
Venue
2019
10.1007/s10586-018-1844-5
Cluster Computing
Keywords
DocType
Volume
Binocular vision, Gesture recognition, Gesture segmentation, Template calibration method
Journal
22
Issue
ISSN
Citations 
6
1573-7543
8
PageRank 
References 
Authors
0.45
32
12
Name
Order
Citations
PageRank
Du Jiang19714.40
Zujia Zheng280.45
Gongfa Li323943.45
Ying Sun429140.03
Jianyi Kong5391.89
Guozhang Jiang617227.25
Hegen Xiong7162.28
Bo Tao8522.43
Shuang Xu927432.53
Hui Yu1012821.50
Honghai Liu111974178.69
Zhaojie Ju1228448.23