CONF
McCool_ICB2009_2009/IDIAP
Parts-Based Face Verification using Local Frequency Bands
McCool, Chris
Marcel, Sébastien
EXTERNAL
https://publications.idiap.ch/attachments/papers/2009/McCool_ICB2009_2009.pdf
PUBLIC
https://publications.idiap.ch/index.php/publications/showcite/McCool_Idiap-RR-03-2009
Related documents
in Proceedings of IEEE/IAPR International Conference on Biometrics
2009
REPORT
McCool_Idiap-RR-03-2009/IDIAP
Parts-Based Face Verification using Local Frequency Bands
McCool, Chris
Marcel, Sébastien
EXTERNAL
https://publications.idiap.ch/attachments/reports/2008/McCool_Idiap-RR-03-2009.pdf
PUBLIC
Idiap-RR-03-2009
2009
Idiap
March 2009
Submitted to ICB 2009
In this paper we extend the Parts-Based approach of face veriï¬cation by performing a frequency-based decomposition. The Parts-Based approach divides the face into a set of blocks which are then considered to be separate observations, this is a spatial decomposition of the face. This pap er extends the Parts-Based approach by also dividing the face in the frequency domain and treating each frequency response from an observation separately. This can be expressed as forming a set of sub-images where each sub-image represents the response to a different frequency of, for instance, the Discrete Cosine Transform. Each of these sub-images is treated separately by a Gaussian Mixture Model (GMM) based classiï¬er. The classiï¬ers from each sub-image are then combined using weighted summation with the weights b eing derived using linear logistic regression. It is shown on the BANCA database that this method improves the performance of the system from an Average Half Total Error Rate of 24.38% to 15.17% when compared to a GMM Parts-Based approach on Protocol P.