edoc-vmtest

Human face shape analysis under spherical harmonics illumination considering self occlusion

Zivanov, Jasenko and Forster, Andreas and Schönborn, Sandro and Vetter, Thomas. (2013) Human face shape analysis under spherical harmonics illumination considering self occlusion. In: 6th International Conference on Biometrics, 8 S.. [s.l.].

[img] PDF - Published Version
Restricted to Repository staff only

3580Kb

Official URL: http://edoc.unibas.ch/dok/A6212194

Downloads: Statistics Overview

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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Ehemalige Einheiten Mathematik & Informatik > Computergraphik Bilderkennung (Vetter)
UniBasel Contributors:Vetter, Thomas and Zivanov, Jasenko and Morel, Andreas and Schönborn, Sandro
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:IEEE
Note:Publication type according to Uni Basel Research Database: Conference paper
Language:English
Related URLs:
Identification Number:
edoc DOI:
Last Modified:31 Dec 2015 10:54
Deposited On:31 Jan 2014 09:50

Repository Staff Only: item control page