3D Facial Model Synthesis using Voronoi Approach

Authors:
Yuan Luo;Marina L. Gavrilova
Affiliations:
University of Calgary, Canada;University of Calgary, Canada
Venue:
ISVD '06 Proceedings of the 3rd International Symposium on Voronoi Diagrams in Science and Engineering
Year:
2006

Citing 0
Cited 3

Exploiting Voronoi diagram properties in face segmentation and feature extraction

Pattern Recognition
Technical Section: A multiresolution approach to iris synthesis

Computers and Graphics
Video-Based face verification with local binary patterns and SVM using GMM supervectors

ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Construction and animation of realistic human facial models is an important research field of computer graphics. How to efficiently create an individualized facial model for animation is still a challenge. In this papel; we present a method for 3D facial model synthesis that combines the traditional free-form deformation (FFD) model with techniques of data interpolation based on Dirichlet/Voronoi diagrams. With 18 feature points extracted from 2D facial images in two orthogonal views, Dirichlet Free Form Deformation (DFFD) is utilized for modifying a generic 3D face to produce the individual face. The main advantages of this method over former extensions of FFD is in removing the constraints on control lattice and control points location. In addition, by assigning different weights to those control points, we improve the DFFD algorithm to make it more adaptable to the facial deformation. The reconstructed 3D faces can be used to generate different facial animations.