Title : 
Human face shape analysis under spherical harmonics illumination considering self occlusion
         
        
            Author : 
Zivanov, Jasenko ; Forster, Alexander ; Schonborn, Sandro ; Vetter, Thomas
         
        
            Author_Institution : 
Dept. of Math. & Comput. Sci., Univ. of Basel, Basel, Switzerland
         
        
        
        
        
        
            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.
         
        
            Keywords : 
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; Computational modeling; Equations; Face; Lighting; Mathematical model; Shape;
         
        
        
        
            Conference_Titel : 
Biometrics (ICB), 2013 International Conference on
         
        
            Conference_Location : 
Madrid
         
        
        
            DOI : 
10.1109/ICB.2013.6612967