Kernel based discriminant image filter learning: application in face recognition

Lingchen Zhang; Sui Wei; Lei Qu

doi:10.1117/12.2073562

5 November 2014 Kernel-based discriminant image filter learning: application in face recognition

Lingchen Zhang, Sui Wei, Lei Qu

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92731Q (2014) https://doi.org/10.1117/12.2073562
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

The extraction of discriminative and robust feature is a crucial issue in pattern recognition and classification. In this paper, we propose a kernel based discriminant image filter learning method (KDIFL) for local feature enhancement and demonstrate its superiority in the application of face recognition. Instead of designing the image filter in a handcraft or analytical way, we propose to learn the image filter so that after filtering the between-class difference is attenuated and the within-class difference is amplified, thus facilitate the following recognition. During filter learning, the kernel trick is employed to cope with the nonlinear feature space problem caused by expression, pose, illumination, and so on. We show that the proposed filter is generalized and it can be concatenated with classic feature descriptors (e.g. LBP) to further increase the discriminability of extracted features. Our extensive experiments on Yale, ORL and AR face databases validate the effectiveness and robustness of the proposed method.

Citation Download Citation

Lingchen Zhang, Sui Wei, and Lei Qu "Kernel-based discriminant image filter learning: application in face recognition", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92731Q (5 November 2014); https://doi.org/10.1117/12.2073562

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