Efficient Global Illumination for Morphable Models

Schneider A, Schonborn S, Egger B, Frobeen L, Vetter T (2017)

Publication Type: Conference contribution

Publication year: 2017

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2017-October

Pages Range: 3885-3893

Conference Proceedings Title: Proceedings of the IEEE International Conference on Computer Vision

Event location: Venice IT

ISBN: 9781538610329

DOI: 10.1109/ICCV.2017.417

Abstract

We propose an efficient self-shadowing illumination model for Morphable Models. Simulating self-shadowing with ray casting is computationally expensive which makes them impractical in Analysis-by-Synthesis methods for object reconstruction from single images. Therefore, we propose to learn self-shadowing for Morphable Model parameters directly with a linear model. Radiance transfer functions are a powerful way to represent self-shadowing used within the precomputed radiance transfer framework (PRT). We build on PRT to render deforming objects with self-shadowing at interactive frame rates. It can be illuminated efficiently by environment maps represented with spherical harmonics. The result is an efficient global illumination method for Morphable Models, exploiting an approximated radiance transfer. We apply the method to fitting Morphable Model parameters to a single image of a face and demonstrate that considering self-shadowing improves shape reconstruction.

Authors with CRIS profile

Bernhard Egger

Involved external institutions

Universität Basel CH Switzerland (CH)

How to cite

APA:

Schneider, A., Schonborn, S., Egger, B., Frobeen, L., & Vetter, T. (2017). Efficient Global Illumination for Morphable Models. In Proceedings of the IEEE International Conference on Computer Vision (pp. 3885-3893). Venice, IT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Schneider, Andreas, et al. "Efficient Global Illumination for Morphable Models." Proceedings of the 16th IEEE International Conference on Computer Vision, ICCV 2017, Venice Institute of Electrical and Electronics Engineers Inc., 2017. 3885-3893.

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