Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
A New Method for Automatic 3D Face Registration Venkat R. Ayyagari*, Faysal Boughorbel, Andreas Koschan, and Mongi A. Abidi
 

Summary: A New Method for Automatic 3D Face Registration
Venkat R. Ayyagari*, Faysal Boughorbel, Andreas Koschan, and Mongi A. Abidi
The University of Tennessee, Knoxville, TN 37996, USA.
*Email: vayyagar@utk.edu
Abstract
In view of today's security concerns, 3D face
reconstruction and recognition has gained a
significant position in computer vision research.
Depth information of a 3D face can be used to solve
the problems of illumination and pose variation
associated with face recognition. Registration is an
integral part of any reconstruction process and hence
we focus on the problem of automatic registration of
3D face point sets through a criterion based on
Gaussian fields. The method defines a simple energy
function, which is always differentiable and convex in
a large neighborhood of the alignment parameters;
allowing for the use of powerful standard optimization
techniques. The new method overcomes the necessity
of close initialization, which is required by Iterative

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences