%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{McCool_Idiap-RR-06-2011,
         author = {McCool, Chris and Marcel, S{\'{e}}bastien},
       projects = {Idiap, MOBIO},
          month = {3},
          title = {Parts-Based Face Verification using Local Frequency Bands},
           type = {Idiap-RR},
         number = {Idiap-RR-06-2011},
           year = {2011},
    institution = {Idiap},
       abstract = {In this paper we extend the Parts-Based approach of face verification 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 paper 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 classifier. The classifiers from each sub-image are then combined
using weighted summation with the weights being 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 26.59\% for
a baseline GMM Parts-Based system to 14.85\% for a column-based approach
on the frequency sub-images, for Protocol P.},
            pdf = {https://publications.idiap.ch/attachments/reports/2010/McCool_Idiap-RR-06-2011.pdf}
}