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2005
Springer

Estimation of 3D Faces and Illumination from Single Photographs Using A Bilinear Illumination Model

10 years 1 months ago
Estimation of 3D Faces and Illumination from Single Photographs Using A Bilinear Illumination Model
3D Face modeling is still one of the biggest challenges in computer graphics. In this paper we present a novel framework that acquires the 3D shape, texture, pose and illumination of a face from a single photograph. Additionally, we show how we can recreate a face under varying illumination conditions. Or, essentially relight it. Using a custom-built face scanning system, we have collected 3D face scans and light reflection images of a large and diverse group of human subjects. We derive a morphable face model for 3D face shapes and accompanying textures by transforming the data into a linear vector sub-space. The acquired images of faces under variable illumination are then used to derive a bilinear illumination model that spans 3D face shape and illumination variations. Using both models we, in turn, propose a novel fitting framework that estimates the parameters of the morphable model given a single photograph. Our framework can deal with complex face reflectance and lighting en...
Jinho Lee, Hanspeter Pfister, Baback Moghaddam, Ra
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where RT
Authors Jinho Lee, Hanspeter Pfister, Baback Moghaddam, Raghu Machiraju
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