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10.1145/3306214.3338611acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
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Multi-view facial capture using binary spherical gradient illumination

Published: 28 July 2019 Publication History

Abstract

High resolution facial capture has received significant attention in computer graphics due to its application in the creation of photorealistic digital humans for various applications ranging from film and VFX to games and VR. Here, the state of the art method for high quality acquisition of facial geometry and reflectance employs polarized spherical gradient illumination [Ghosh et al. 2011; Ma et al. 2007]. The technique has had a significant impact in facial capture for film VFX, recently receiving a Technical Achievement award from the Academy of Motion Picture Arts and Sciences [Aca 2019]. However, the method imposes a few constraints due to the employment of polarized illumination, and requires the camera viewpoints to be located close to the equator of the LED sphere for appropriate diffuse-specular separation for multiview capture [Ghosh et al. 2011]. The employment of polarization for reflectance separation also reduces the amount of light available for exposures and requires double the number of photographs (in cross and parallel polarization states), increasing the capture time and the number of photographs required for each face scan.

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References

[1]
2019. SCIENTIFIC & TECHNICAL AWARDS. https://www.oscars.org/sci-tech/ceremonies/2019
[2]
Abhijeet Ghosh, Graham Fyffe, Borom Tunwattanapong, Jay Busch, Xueming Yu, and Paul Debevec. 2011. Multiview face capture using polarized spherical gradient illumination. In ACM Transactions on Graphics (TOG), Vol. 30. ACM, 129.
[3]
Christos Kampouris, Stefanos Zaferiou, and Abhijeet Ghosh. 2018. Diffuse-specular separation using binary spherical gradient illumination. In Proceedings of the 2018 Eurographics Symposium on Rendering: Experimental Ideas & Implementations (EGSR'18), Karlsruhe, Germany. 1--4.
[4]
Wan-Chun Ma, Tim Hawkins, Pieter Peers, Charles-Felix Chabert, Malte Weiss, and Paul Debevec. 2007. Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination. In Proceedings of the 18th Eurographics conference on Rendering Techniques. Eurographics Association, 183--194.
[5]
Satya P. Mallick, Todd E. Zickler, David J. Kriegman, and Peter N. Belhumeur. 2005. Beyond Lambert: Reconstructing Specular Surfaces Using Color. In CVPR.

Cited By

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  • (2022) AvatarMe ++ : Facial Shape and BRDF Inference With Photorealistic Rendering-Aware GANs IEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2021.312559844:12(9269-9284)Online publication date: 1-Dec-2022
  • (2020)AvatarMe: Realistically Renderable 3D Facial Reconstruction “In-the-Wild”2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR42600.2020.00084(757-766)Online publication date: Jun-2020

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  1. Multi-view facial capture using binary spherical gradient illumination

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    Published In

    cover image ACM Conferences
    SIGGRAPH '19: ACM SIGGRAPH 2019 Posters
    July 2019
    148 pages
    ISBN:9781450363143
    DOI:10.1145/3306214
    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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    New York, NY, United States

    Publication History

    Published: 28 July 2019

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    Author Tags

    1. face capture
    2. reflectance separation

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    • EPSRC Fellowship DEFORM
    • EPSRC Early Career Fellowship

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    Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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    • (2022) AvatarMe ++ : Facial Shape and BRDF Inference With Photorealistic Rendering-Aware GANs IEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2021.312559844:12(9269-9284)Online publication date: 1-Dec-2022
    • (2020)AvatarMe: Realistically Renderable 3D Facial Reconstruction “In-the-Wild”2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR42600.2020.00084(757-766)Online publication date: Jun-2020

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