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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.
image colour analysis
image motion analysis
stereo image processing
Digital Object Identifier: 10.1109/3DIM.2005.28
Published with permission from the copyright holder. This is the institute's copy, as published in 3-D Digital Imaging and Modeling, 2005. 3DIM 2005. Fifth International Conference on, 13-16 June 2005, Pages 118-125.
Copyright © 2005 IEEE. All rights reserved.
Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
IEEE Computer Society
Fifth International Conference on 3-D Digital Imaging and Modeling
Ottawa, Ontario, Canada