학술논문

Human face shape analysis under spherical harmonics illumination considering self occlusion
Document Type
Conference
Source
2013 International Conference on Biometrics (ICB) Biometrics (ICB), 2013 International Conference on. :1-8 Jun, 2013
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Shape
Lighting
Mathematical model
Computational modeling
Face
Equations
Language
ISSN
2376-4201
Abstract
In this paper we present a novel method of considering self-occlusion when fitting faces under global illumination. The effects of self-occlusion under spherical harmonics (SH) illumination are predicted through the use of a a morphable model of faces. A linear function is precomputed which maps morphable model coordinates directly to surface irradiance values. We demonstrate that considering self-occlusion yields a clear improvement over an otherwise identical reconstruction where self-occlusion is neglected. Our method succeeds at reconstructing facial attributes that are visible primarily as a consequence of self-occlusion, such as the depth of the eye sockets and the shape of the nose.