TY - GEN
T1 - Wrinkle based skeleton embedding method for refined human hand
AU - Yu, Changjian
AU - Shen, Xukun
AU - Hu, Yong
AU - Fan, Qing
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - It has been always a challenge to extract or generate a skeleton from a mesh. Most skeleton extraction methods are aimed at articulated character models, which are not well suitable for refined hand model. We proposed a novel automatic method for skeleton extraction of refined human hand meshes. Given a refined human hand meshes, we first use an automatic rigging system to extract a coarse skeleton graph. Then we run a refinement algorithm to the graph by tracking the wrinkles near the joints, so that the coarse skeleton graph is adjusted and refined. Finally, a match algorithm is applied to produce joint frames of the skeleton graph. Finally, joint frames are attached to support rotation. Our method produces reasonable skeleton on refined human hands while delivering an acceptable performance, enabling further use of hand pose animation by any skeleton-based methods.
AB - It has been always a challenge to extract or generate a skeleton from a mesh. Most skeleton extraction methods are aimed at articulated character models, which are not well suitable for refined hand model. We proposed a novel automatic method for skeleton extraction of refined human hand meshes. Given a refined human hand meshes, we first use an automatic rigging system to extract a coarse skeleton graph. Then we run a refinement algorithm to the graph by tracking the wrinkles near the joints, so that the coarse skeleton graph is adjusted and refined. Finally, a match algorithm is applied to produce joint frames of the skeleton graph. Finally, joint frames are attached to support rotation. Our method produces reasonable skeleton on refined human hands while delivering an acceptable performance, enabling further use of hand pose animation by any skeleton-based methods.
KW - Hand skeleton extraction
KW - Skeleton graph refinement
KW - Wrinkle detection
UR - https://www.scopus.com/pages/publications/85025439848
U2 - 10.1109/ICVRV.2016.39
DO - 10.1109/ICVRV.2016.39
M3 - 会议稿件
AN - SCOPUS:85025439848
T3 - Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016
SP - 183
EP - 189
BT - Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016
A2 - Ding, Dandan
A2 - Wang, Dangxiao
A2 - Chen, Jian
A2 - Luo, Xun
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Virtual Reality and Visualization, ICVRV 2016
Y2 - 24 September 2016 through 26 September 2016
ER -