Facial performance capture by embedded photo reflective sensors on a smart eyewear

Nao Asano, Katsutoshi Masai, Yuta Sugiura, Maki Sugimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Facial performance capture is used for animation production that projects a performer's facial expression to a computer graphics model. Retro-reflective markers and cameras are widely used for the performance capture. To capture expressions, we need to place markers on the performer's face and calibrate the intrinsic and extrinsic parameters of cameras in advance. However, the measurable space is limited to the calibrated area. In this paper, we propose a system to capture facial performance using a smart eyewear with photo reflective sensors and machine learning technique.

Original languageEnglish
Title of host publicationInternational Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, ICAT-EGVE 2017
EditorsRobert W. Lindeman, Gerd Bruder, Daisuke Iwai
PublisherEurographics Association
Pages21-28
Number of pages8
ISBN (Electronic)9783038680383
DOIs
Publication statusPublished - 2017
Event27th International Conference on Artificial Reality and Telexistence, ICAT 2017 and the 22nd Eurographics Symposium on Virtual Environments, EGVE 2017 - Adelaide, Australia
Duration: 2017 Nov 222017 Nov 24

Publication series

NameInternational Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, ICAT-EGVE 2017

Conference

Conference27th International Conference on Artificial Reality and Telexistence, ICAT 2017 and the 22nd Eurographics Symposium on Virtual Environments, EGVE 2017
CountryAustralia
CityAdelaide
Period17/11/2217/11/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Facial performance capture by embedded photo reflective sensors on a smart eyewear'. Together they form a unique fingerprint.

  • Cite this

    Asano, N., Masai, K., Sugiura, Y., & Sugimoto, M. (2017). Facial performance capture by embedded photo reflective sensors on a smart eyewear. In R. W. Lindeman, G. Bruder, & D. Iwai (Eds.), International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, ICAT-EGVE 2017 (pp. 21-28). (International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, ICAT-EGVE 2017). Eurographics Association. https://doi.org/10.2312/egve.20171334