A hybrid motion data manipulation: Wavelet based motion processing and spacetime rectification

Abstract

In this paper, we present a hybrid approach to motion data manipulation. Motion signal is decomposed into multi-resolution levels with wavelet analysis. The coarse level represents the globe pattern of a motion signal while the fine levels describe the individual styles. Special motion style can be highlighted through enhancing the corresponding level content and can be fused into other motions by texturing them with related fine levels. And multiple motions can be synthesized by multi-resolution blending to create new motions somehow like to the blended motions. Motion signals implicitly preserve constraints to keep realistic. However, the above manipulations may inviolate some constraints and result in the unrealistic artifact. Spacetime rectification is proposed to reserve the essential constraints. Our experiment shows the effectiveness of this hybrid motion data manipulation approach.