中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hand Gesture Recognition Based on the Parallel Edge Finger Feature and Angular Projection

文献类型:会议论文

作者Yimin Zhou; Guolai Jiang; Guoqing Xu; Yaorong Lin
出版日期2014
会议名称Computer Vision - ACCV 2014 Workshops
会议地点新加坡
英文摘要In this paper, a novel high-level hand feature extraction method is proposed by the aid of finger parallel edge feature and angular projection. The finger is modelled as a cylindrical object and the finger images can be extracted from the convolution with a specific operator as salient hand edge images. Hand center, hand orientation and wrist location are then determined via the analysis of finger image and hand silhouette. The angular projection of the finger images with origin point on the wrist is calculated, and five fingers are located by analyzing the angular projection. The proposed algorithm can detect extensional fingers as well as flexional fingers. It is robust to the hand rotation, side movements of fingers and disturbance from the arm. Experimental results demonstrate that the proposed method can directly estimate simple hand poses in real-time.
收录类别其他
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/5545]  
专题深圳先进技术研究院_集成所
作者单位2014
推荐引用方式
GB/T 7714
Yimin Zhou,Guolai Jiang,Guoqing Xu,et al. Hand Gesture Recognition Based on the Parallel Edge Finger Feature and Angular Projection[C]. 见:Computer Vision - ACCV 2014 Workshops. 新加坡.

入库方式: OAI收割

来源:深圳先进技术研究院

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