Locating facial features for age classification

Young Ho Kwon; Niels da Vitoria Lobo

doi:10.1117/12.150184

20 August 1993 Locating facial features for age classification

Young Ho Kwon, Niels da Vitoria Lobo

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150184
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Young Ho Kwon and Niels da Vitoria Lobo "Locating facial features for age classification", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150184

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available