Paper Info
Title
Human face shape analysis under spherical harmonics illumination considering self occlusion
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.
Year
DOI
Venue
2013
10.1109/ICB.2013.6612967
Biometrics
Keywords
Field
DocType
computer graphics,face recognition,image reconstruction,SH illumination,eye socket depth,facial attribute reconstruction,human face shape analysis,linear function,morphable model,self-occlusion,spherical harmonics illumination,surface irradiance values
Iterative reconstruction,Computer vision,Facial recognition system,Occlusion,Computer graphics (images),Computer science,Spherical harmonics,Global illumination,Artificial intelligence,Linear function,Computer graphics,Shape analysis (digital geometry)
Conference
ISSN
Citations 
PageRank 
2376-4201
3
0.46
References 
Authors
7
4
Name
Order
Citations
PageRank
Jasenko Zivanov130.46
Andreas Forster2303.62
Sandro Schönborn3394.23
Thomas Vetter44528529.79