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Feature extraction from faces using deformable templates
Yuille, A.L. Cohen, D.S. Hallinan, P.W.
Harvard Robotics Lab., Harvard Univ., Cambridge, MA;

This paper appears in: Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Publication Date: 4-8 Jun 1989
On page(s): 104-109
Meeting Date: 06/04/1989 - 06/08/1989
Location: San Diego, CA, USA
ISBN: 0-8186-1952-x
References Cited: 15
INSPEC Accession Number: 3471658
Digital Object Identifier: 10.1109/CVPR.1989.37836
Current Version Published: 2002-08-06

Abstract
A method for detecting and describing the features of faces using deformable templates is described. The feature of interest, an eye for example, is described by a parameterized template. An energy function is defined which links edges, peaks, and valleys in the image intensity to corresponding properties of the template. The template then interacts dynamically with the image, by altering its parameter values to minimize the energy function, thereby deforming itself to find the best fit. The final parameter values can be used as descriptors for the features. This method is demonstrated by showing deformable templates detecting eyes and mouths in real images

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