DocumentCode
2465582
Title
Feature extraction from faces using deformable templates
Author
Yuille, Alan L. ; Cohen, David S. ; Hallinan, Peter W.
Author_Institution
Harvard Robotics Lab., Harvard Univ., Cambridge, MA, USA
fYear
1989
fDate
4-8 Jun 1989
Firstpage
104
Lastpage
109
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
Keywords
pattern recognition; picture processing; deformable templates; energy function; feature extraction; image intensity; pattern recognition; picture processing; Computer vision; Deformable models; Eyes; Face detection; Face recognition; Feature extraction; Image edge detection; Laboratories; Mouth; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location
San Diego, CA
ISSN
1063-6919
Print_ISBN
0-8186-1952-x
Type
conf
DOI
10.1109/CVPR.1989.37836
Filename
37836
Link To Document