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Proceedings Paper

Locating facial features for age classification
Author(s): Young Ho Kwon; Niels da Vitoria Lobo
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Paper Abstract

In this paper, we outline computations for visual age classification from facial images. For now, input images can only be classified into one of three age-groups: babies, adults, and senior adults. The computations are based on cranio-facial development theory, and wrinkle analysis. In the implementation, first primary features of the face are found, followed by secondary feature analyses. Preliminary results with real data are presented.

Paper Details

Date Published: 20 August 1993
PDF: 11 pages
Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); doi: 10.1117/12.150184
Show Author Affiliations
Young Ho Kwon, Univ. of Central Florida and Martin Marrieta Technologies Inc (United States)
Niels da Vitoria Lobo, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 2055:
Intelligent Robots and Computer Vision XII: Algorithms and Techniques
David P. Casasent, Editor(s)

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