A Vision-Based Hand Motion Parameter Capturing for HCI
In this paper, we develop a real-time motion capturing system. Based on 3-D hand model with structural constraint and kinematical constraint, we may estimate human hand state in high degree of freedom space by using the proposed separable state-based particle filter (SSBPF). We separate the states of the variable and track five different fingers individually by using the particle filter. Combining the hand model and SSBPF, we implement a human hand gesture reconstruction system
Chingyu Weng Chuanyu Tseng Mengfen Ho Chunglin Huang
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan Department of Ele Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan Department of Inf
国际会议
2008 International Conference on Audio,Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
1219-1224
2008-07-07(万方平台首次上网日期,不代表论文的发表时间)