DocumentCode
2080291
Title
Age classification from facial images
Author
Young Ho Kwon ; Lobo, Niels Da Vitoria
Author_Institution
Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
fYear
1994
fDate
21-23 Jun 1994
Firstpage
762
Lastpage
767
Abstract
The ability to classify age from a facial image has not been pursued in computer vision. This research addresses the limited task of age classification of a facial image into a baby, young adult, and senior adult. This is the first reported work to classify age, and to successfully extract and use natural wrinkles. We present a theory and practical computations for visual age classification from facial images, based on cranio-facial changes in feature-position ratios, and on skin wrinkle analysis. Three age groups are classified
Keywords
computer vision; feature extraction; age classification; computer vision; cranio-facial changes; facial images; feature-position ratios; skin wrinkle analysis; visual age classification; Feature extraction; Machine vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location
Seattle, WA
ISSN
1063-6919
Print_ISBN
0-8186-5825-8
Type
conf
DOI
10.1109/CVPR.1994.323894
Filename
323894
Link To Document