Face and automatic target recognition based on super-resolution class-specific subspace

Widhyakorn Asdornwised

doi:10.1117/12.723527

7 May 2007 Face and automatic target recognition based on super-resolution class-specific subspace

Widhyakorn Asdornwised

Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65670M (2007) https://doi.org/10.1117/12.723527
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Recently, super-resolution reconstruction (SRR) method of low-dimensional face subspaces has been proposed for face recognition. However, the reconstructed features obtained from the face-specific super-resolution subspace contain no class information. This paper proposes a novel method for super-resolution reconstruction of class specific features that aims on improving the discriminant power of the recognition systems. Our experimental results on Yale and ORL face databases are very encouraging. Furthermore, the performance of our proposed approach on the MSTAR database is also tested for preliminary evaluation.

Citation Download Citation

Widhyakorn Asdornwised "Face and automatic target recognition based on super-resolution class-specific subspace", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670M (7 May 2007); https://doi.org/10.1117/12.723527

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