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We present a sparse coding-based framework for motion style decomposition andsynthesis. Dynamic Time Warping is firstly used to synchronized input motionsin the time domain as a pre-processing step. A sparse coding-baseddecomposition has been proposed, we also introduce the idea of core componentand basic motion. Decomposed motions are then combined, transfer to synthesizenew motions. Lastly, we develop limb length constraint as a post-processingstep to remove distortion skeletons. Our framework has the advantage of lesstime-consuming, no manual alignment and large dataset requirement. As a result,our experiments show smooth and natural synthesized motion.

Motion Style Extraction Based on Sparse Coding Decomposition