Features for robust face-based identity verification

No Thumbnail Available
File version
Author(s)
Sanderson, C
Paliwal, KK
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2003
Size
File type(s)
Location
License
Abstract

In this paper we propose the discrete cosine transform (DCT) mod 2 feature set, which utilizes polynomial coefficients derived from 2D DCT coefficients obtained from spatially neighboring blocks. Face verification results on the multi-session VidTIMIT database suggest that the DCT-mod 2 feature set is superior (in terms of robustness to illumination direction changes and discrimination ability) to features extracted using three popular methods: eigenfaces principal component analysis, 2D DCT and 2D Gabor wavelets. Moreover, compared to Gabor wavelets, the DCT-mod 2 feature set is over 80 times faster to compute. Additional experiments on the Weizmann database also show that the DCT-mod 2 approach is more robust than 2D Gabor wavelets and 2D DCT coefficients.

Journal Title

Signal Processing

Conference Title
Book Title
Edition
Volume

83

Issue
Thesis Type
Degree Program
School
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2003 Elsevier : Reproduced in accordance with the copyright policy of the publisher : This journal is available online - use hypertext links.

Item Access Status
Note
Access the data
Related item(s)
Subject

Information and computing sciences

Engineering

Persistent link to this record
Citation
Collections