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HUMO
2000
Springer

Realistic Synthesis of Novel Human Movements from a Database of Motion Capture Examples

8 years 10 months ago
Realistic Synthesis of Novel Human Movements from a Database of Motion Capture Examples
In this paper we present a system that can synthesise novel motion sequences from a database of motion capture examples. This is achieved through learning a statistical model from the captured data which enables realistic synthesis of new movements by sampling the original captured sequences. New movements are synthesised by specifying the start and end keyframes. The statistical model identifies segments of the original motion capture data to generate novel motion sequences between the keyframes. The advantage of this approach is that it combines the flexibility of keyframe animation with the realism of motion capture data.
L. M. Tanco, Adrian Hilton
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where HUMO
Authors L. M. Tanco, Adrian Hilton
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