Asano, NaoMasai, KatsutoshiSugiura, YutaSugimoto, MakiRobert W. Lindeman and Gerd Bruder and Daisuke Iwai2017-11-212017-11-212017978-3-03868-038-31727-530Xhttps://doi.org/10.2312/egve.20171334https://diglib.eg.org:443/handle/10.2312/egve20171334Facial 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.HardwareSensor devices and platforms10.2312/egve.2017133421-28