Framework combined face segmentation with recognition

Jing-Wein Wang

doi:10.1117/1.3122931

1 April 2009 Framework combined face segmentation with recognition

Jing-Wein Wang

Author Affiliations +

Optical Engineering, Vol. 48, Issue 4, 047206 (April 2009). https://doi.org/10.1117/1.3122931

Abstract

An elliptic face segmentation algorithm, called a facial component extractor (FCExtractor), was recently proposed. The algorithm is based on a novel overcomplete wavelet template, a support vector machine (SVM) classifier, and wavelet entropy filtering. It is designed to consistently detect and segment the eyes-nose-mouth T-shaped facial region via ellipse. Thereafter, head orientation is estimated by using the ratio of cheeks. To evaluate the effectiveness of the FCExtractor, we introduce a face detection measure based on the distance between the expected and segmented eye-mouth triangle circumscribed circle areas. We then apply the local description of the segmented face through normalization, illumination normalization, log-polar mapping, and self-eigenface to achieve recognition. The novelty of this approach for face representation comes from the derivation of the likelihood fitness function for self-eigenface selection of a discriminative subset and the adaptive threshold value. The approach maximizes the differences amidst face images of different persons, and it also minimizes the expression and pose variations of the same person. Experimental results on available databases and a live sequence show that our method is superior to conventional methods based on rectangular face segmentation against complex scenes.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jing-Wein Wang "Framework combined face segmentation with recognition," Optical Engineering 48(4), 047206 (1 April 2009). https://doi.org/10.1117/1.3122931

Published: 1 April 2009

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