Face recognition based on eigenfeatures

Paulo Quintiliano; Antonio Nuno Santa-Rosa; Renato Guadagnin

doi:10.1117/12.441438

21 September 2001 Face recognition based on eigenfeatures

Paulo Quintiliano, Antonio Nuno Santa-Rosa, Renato Guadagnin

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441438
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Face Recognition is an area of emergent research, that offers great challenges, mainly in adverse conditions. This paper addresses face images with approximately 20% of face in partly occluded or not-well illuminated images as well as with use of disguise, scarf, sun glasses or masks. The presented techniques use three different eigenfeatures: eigeneyes, eigennose and eigenmouth. Even in these unfavorable situations, recognition rates achieved 87%. Images were extracted from The Yale Face Database.

Citation Download Citation

Paulo Quintiliano, Antonio Nuno Santa-Rosa, and Renato Guadagnin "Face recognition based on eigenfeatures", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441438

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