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On-Line Motion Style Transfer

  • Conference paper
Entertainment Computing - ICEC 2006 (ICEC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4161))

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Abstract

Motion capture techniques play an important role in computer animation. Because the cost of motion capture data is relatively high and the virtual environment changes frequently in actual applications, researchers in this area focus their work on developing algorithms for editing the capture motion data, and synthesizing new motions from available motion database. Although abundant work has been done on motion editing and synthesis, few of them obviously take motion styles into consideration. Meanwhile, existing style editing algorithms either need an obvious definition of “style”, or need a time-consuming training process. In this paper, we propose a fast and convenient algorithm for human-motion style editing. We define the style of motion as statistic properties of mean and standard variance of joint quaternions in 4D unit sphere space. The proposed algorithm can transfer the style of a motion to another by transferring these properties. Experiment results demonstrate that our approach has the advantages of fast execution, low memory occupation, and easy implementation. It can be widely applied to various real-time entertainment-computing applications, such as gaming and digital movie producing.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, P. R. China

    Xiaomao Wu, Lizhuang Ma & Can Zheng

  2. Microsoft Research Asia, No. 49, Zhichun Road, Haidian District, Beijing, 100080, P. R. China

    Yanyun Chen

  3. Department of Computer Science, National Tsing Hua University, 101, Kuang Fu Rd, Sec.2, HsingChu, 300, R.O.C.

    Ke-Sen Huang

Authors
  1. Xiaomao Wu
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  2. Lizhuang Ma
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  3. Can Zheng
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  4. Yanyun Chen
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  5. Ke-Sen Huang
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Editor information

Editors and Affiliations

  1. Microsoft Research Cambridge, Socio-Digital Systems, 7 J.J: Thomson Ave, CB3 OFB, Cambridge, UK

    Richard Harper

  2. Technische Universiteit Eindhoven, Den Dolech 2, 5600MB, Eindhoven, The Netherlands

    Matthias Rauterberg

  3. Microsoft Research Cambridge UK, Roger Needham Building , 7 J J Thomson Ave, CB3 0FB, Cambridge, UK

    Marco Combetto

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© 2006 IFIP International Federation for Information Processing

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Wu, X., Ma, L., Zheng, C., Chen, Y., Huang, KS. (2006). On-Line Motion Style Transfer. In: Harper, R., Rauterberg, M., Combetto, M. (eds) Entertainment Computing - ICEC 2006. ICEC 2006. Lecture Notes in Computer Science, vol 4161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872320_32

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  • DOI: https://doi.org/10.1007/11872320_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45259-1

  • Online ISBN: 978-3-540-45261-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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