BibTeX
@MISC{Castelán_faceshape,
author = {Mario Castelán},
title = {Face Shape Recovery from a Single Image View},
year = {}
}
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Abstract
The problem of acquiring surface models of faces is an important one with potentially significant applications in biometrics, computer games and production graphics. For such task, the use of shape-from-shading (SFS) is appealing since it is a non-invasive method that mimics the capabilities of the human visual system. In this thesis, our interest lies on the recovery of facial shape from single image views. We make four novel contributions to this area. We commence by describing an algorithm for ensuring data-closeness and integrability in Shape-from-Shading. The combination of these constraints is aimed to overcome the problem of high dependency on the image irradiance. Next, we focus on developing a practical scheme for face analysis using SFS. We describe a local-shape based method for imposing a novel convexity constraint. We show how to modify the orientations in the surface gradient field using critical points on the surface and local shape indicators. Then, we explore the use of statistical models that can be used in conjunction with SFS to reconstruct facial shape. We describe four different ways of constructing the 3D
Keyphrases
single image view face shape recovery facial shape surface gradient field significant application novel convexity constraint computer game critical point image irradiance statistical model high dependency important one practical scheme different way local shape indicator novel contribution human visual system non-invasive method face analysis surface model production graphic
