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Combining Sampling and Autoregression for Motion Synthesis

David Oziem, Neill Campbell, Colin Dalton, David Gibson, Barry Thomas, Combining Sampling and Autoregression for Motion Synthesis. Proceedings of the Computer Graphics International Conference 2004. ISBN 0-7695-2171-1, pp. 510–513. June 2004. PDF, 141 Kbytes. External information

Abstract

We present a novel approach to motion synthesis. We show that by splitting sequences into segments we can create new sequences 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 statistical models allow a potentially infinite number of new segments to be generated. We show that this system can model complicated nonstationary sequences which a single ARP is unable to do.

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