TY - GEN
T1 - Coordination of appearance and motion data for virtual view generation of traditional dances
AU - Kamon, Yuji
AU - Yamane, Ryo
AU - Mukaigawa, Yasuhiro
AU - Shakunaga, Takeshi
PY - 2005
Y1 - 2005
N2 - A novel method is proposed for virtual view generation of traditional dances. In the proposed framework, a traditional dance is captured separately for appearance registration and motion registration. By coordinating the appearance and motion data, we can easily control virtual camera motion within a dancer-centered coordinate system. For this purpose, a coordination problem should be solved between the appearance and motion data, since they are captured separately and the dancer moves freely in the room. The present paper shows a practical algorithm to solve it. A set of algorithms are also provided for appearance and motion registration, and virtual view generation from archived data. In the appearance registration, a 3D human shape is recovered in each time from a set of input images after suppressing their backgrounds. By combining the recovered 3D shape and a set of images for each time, we can compose archived dance data. In the motion registration, stereoscopic tracking is accomplished for color markers placed on the dancer. A virtual view generation is formalized as a color blending among multiple views, and a novel and efficient algorithm is proposed for the composition of a natural virtual view from a set of images. In the proposed method, weightings of the linear combination are calculated from both an assumed viewpoint and a surface normal.
AB - A novel method is proposed for virtual view generation of traditional dances. In the proposed framework, a traditional dance is captured separately for appearance registration and motion registration. By coordinating the appearance and motion data, we can easily control virtual camera motion within a dancer-centered coordinate system. For this purpose, a coordination problem should be solved between the appearance and motion data, since they are captured separately and the dancer moves freely in the room. The present paper shows a practical algorithm to solve it. A set of algorithms are also provided for appearance and motion registration, and virtual view generation from archived data. In the appearance registration, a 3D human shape is recovered in each time from a set of input images after suppressing their backgrounds. By combining the recovered 3D shape and a set of images for each time, we can compose archived dance data. In the motion registration, stereoscopic tracking is accomplished for color markers placed on the dancer. A virtual view generation is formalized as a color blending among multiple views, and a novel and efficient algorithm is proposed for the composition of a natural virtual view from a set of images. In the proposed method, weightings of the linear combination are calculated from both an assumed viewpoint and a surface normal.
UR - http://www.scopus.com/inward/record.url?scp=84858973190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858973190&partnerID=8YFLogxK
U2 - 10.1109/3DIM.2005.28
DO - 10.1109/3DIM.2005.28
M3 - Conference contribution
AN - SCOPUS:84858973190
SN - 0769523277
SN - 9780769523279
T3 - Proceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM
SP - 118
EP - 125
BT - Proceedings - 5th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2005
T2 - 5th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2005
Y2 - 13 June 2005 through 16 June 2005
ER -