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We present a novel approach to motion synthesis. It is shown that by splitting sequences into segments new sequences can be created with a similar look and feel to the original. Copying segments of the original data generates a sequence which maintains detailed characteristics. By modelling each segment using an autoregressive process we can introduce new segments and therefore unseen motions. These...
We present two approaches for the generation of novel video textures, which portray a human expressing different emotions. Here training data is provided by video sequences of an actress expressing specific emotions such as angry, happy and sad. The main challenge of modelling these video texture sequences is the high variance in head position and facial expression. Principal components analysis (PCA)...
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