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Bibtex 5(2008)5

Multi-Mode Tensor Representation of Motion Data

@article{KTMW08,
  author="Bj{\"o}rn Kr{\"u}ger and Jochen Tautges and Meinard M{\"u}ller and Andreas Weber",
  title="Multi-Mode Tensor Representation of Motion Data",
  journal="Journal of Virtual Reality and Broadcasting",
  editor = "Jens Herder",
  year="2008",
  volume="5",
  number="5",
  month=jul,
  note="{\tt urn:nbn:de:0009-6-14197,}, ISSN 1860-2037",
  abstract = "In this paper, we investigate how a multilinear model
              can be used to represent human motion data. Based
              on technical modes (referring to degrees of freedom
              and number of frames) and natural modes that typically
              appear in the context of a motion capture session
              (referring to actor, style, and repetition), the motion
              data is encoded in form of a high-order tensor.
              This tensor is then reduced by using N-mode singular
              value decomposition. Our experiments show that the
              reduced model approximates the original motion better
              then previously introduced PCA-based approaches.
              Furthermore, we discuss how the tensor representation
              may be used as a valuable tool for the synthesis of new
              motions."
}

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Last modified 2008-08-05 09:30 AM