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AUTOMATIC 3D FACE REGISTRATION WITHOUT INITIALIZATION
 

Summary: Chapter 3
AUTOMATIC 3D FACE REGISTRATION
WITHOUT INITIALIZATION
A. Koschan, V. R. Ayyagari, F. Boughorbel, and M. A. Abidi
Imaging, Robotics, and Intelligent Systems Laboratory, The University of Tennessee,
334 Ferris Hall, Knoxville, TN 37996, USA.
Abstract: Recently 3D face reconstruction and recognition has gained an important role
in computer vision and biometrics research. Depth information of a 3D face
can aid solving the uncertainties in illumination and pose variation associated
with face recognition. The registration of data that is usually acquired from
different views is a fundamental element of any reconstruction process. This
chapter focuses on the problem of automatic registration of 3D face point sets
through a criterion based on Gaussian fields. The method defines a
straightforward 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 introduced technique
overcomes the necessity of close initialization, which is a requirement when
applying the Iterative Closest Point algorithm. Moreover, the use of the Fast
Gauss Transform reduces the computational complexity of the registration
algorithm.

  

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

 

Collections: Computer Technologies and Information Sciences