Image Warping by Radial Basis Functions: Application to Facial Expressions (1994)
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| Venue: | CVGIP: Graphical Models and Image Processing |
| Citations: | 53 - 3 self |
BibTeX
@INPROCEEDINGS{Arad94imagewarping,
author = {Nur Arad and Nira Dyn and Daniel Reisfeld and Yehezkel Yeshurun},
title = {Image Warping by Radial Basis Functions: Application to Facial Expressions},
booktitle = {CVGIP: Graphical Models and Image Processing},
year = {1994},
pages = {161--172}
}
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Abstract
The human face is an elastic object. A natural paradigm for representing facial expressions is to form a complete 3D model of facial muscles and tissues. However, determining the actual parameter values for synthesizing and animating facial expressions is tedious; evaluating these parameters for facial expression analysis out of grey-level images is ahead of the state of the art in computer vision. Using only 2D face images and a small number of anchor points, we show that the method of radial basis functions provides a powerful mechanism for processing facial expressions. Although constructed specifically for facial expressions, our method is applicable to other elastic objects as well.
