DocumentCode :
2530352
Title :
Non-Lambertian Model-based Facial Shape Recovery from Single Image Under Unknown General Illumination
Author :
Elhabian, Shireen ; Mostafa, Eslam ; Rara, Ham ; Farag, Aly
Author_Institution :
CVIP Lab., Univ. of Louisville, Louisville, KY, USA
fYear :
2012
fDate :
28-30 May 2012
Firstpage :
252
Lastpage :
259
Abstract :
Through depth perception, humans have the ability to determine distances based on a single 2D image projected on their retina, where shape-from-shading (SFS) provides a mean to mimic such a phenomenon. The goal of this paper is to recover 3D facial shape from a single image of unknown general illumination, while relaxing the non-realistic assumption of Lambert Ian reflectance. Prior shape, albedo and reflectance models from real data, which are metric in nature, are incorporated into the shape recovery framework. Adopting a frequency-space based representation of the image irradiance equation, we propose an appearance model, termed as Harmonic Projection Images, which accounts explicitly for different human skin types as well as complex illumination conditions. Assuming skin reflectance obeys Torrance-Sparrow model, we prove analytically that it can be represented by at most 5th order harmonic basis whose closed form is provided. The recovery framework is a non-iterative approach which incorporates regression-like algorithm in the minimization process. Our experiments on synthetic and real images illustrate the robustness of our appearance model vis-a-vis illumination variation.
Keywords :
face recognition; image representation; lighting; reflectivity; regression analysis; shape recognition; visual perception; 2D image projection; 3D facial shape; Lambertian reflectance model; SFS; Torrance-Sparrow model; albedo models; complex illumination conditions; depth perception; frequency-space-based image representation; harmonic basis; harmonic projection images; human skin types; image irradiance equation; minimization process; nonLambertian model-based facial shape recovery; noniterative approach; nonrealistic assumption; regression-like algorithm; shape-from-shading; skin reflectance; unknown general illumination; Computational modeling; Harmonic analysis; Humans; Lighting; Mathematical model; Shape; Skin; (hemi)spherical harmonics; image irradiance equation; reflectance modeling; statistical shape recovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision (CRV), 2012 Ninth Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4673-1271-4
Type :
conf
DOI :
10.1109/CRV.2012.40
Filename :
6233149
Link To Document :
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