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Meet Mike: epic avatars

Published:30 July 2017Publication History

ABSTRACT

Meet Mike uses the latest techniques in advanced motion capture to drive complex facial rigs to enable detailed interaction in VR. This allows participants to meet, talk in VR and experience new levels of photorealistic interaction. The installation uses new advances in real time rigs, skin shaders, facial capture, deep learning and real-time rendering in UE4.

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vrvillage-0073.mp4

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References

  1. P. Bérard, D. Bradley, M. Gross, and T. Beeler. 2016. Lightweight Eye Capture Using a Parametric Model. ACM Transactions on Graphics 33, 6 (2016), 1--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. P. Debevec, T. Hawkins, C. Tchou, H. Duiker, M. Sagar, and W. Sarokin. 2000. Acquiring the Reflectance Field of a Human Face. In Proceedings of ACM SIGGRAPH 2000. 145--156. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Paul Ekman and Erika L. Rosenberg. 1997. What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System. Oxford University Press.Google ScholarGoogle Scholar
  4. M. Seymour. 2016. EPIC win: previs to final in five minutes | fxguide. https://www.fxguide.com/featured/epic-win-previs-to-final-in-five-minutes/. (2016).Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '17: ACM SIGGRAPH 2017 VR Village
      July 2017
      30 pages
      ISBN:9781450350136
      DOI:10.1145/3089269

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 30 July 2017

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      Overall Acceptance Rate1,822of8,601submissions,21%

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