@techreport{TR-IC-11-16,
   number = {IC-11-16},
   author = {Giovani Chiachia and Alexandre Xavier Falcão and Anderson
                   Rocha},
   title = {{Person-Specific Face Representation for Recognition}},
   month = {July},
   year = {2011},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 14 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Most face recognition methods rely on a common feature space to
       represent  the  faces,  in  which  the face aspects that better
       distinguish among all the persons are emphasized. This strategy
       may  be  inadequate  to represent more appropriate aspects of a
       specific  person's  face,  since there may be some aspects that
       are good at distinguishing only a given person from the others.
       Based  on this idea and supported by some findings in the human
       perception  of  faces,  we propose a face recognition framework
       that  associates  a feature space to each person that we intend
       to  recognize.  Such  feature spaces are conceived to underline
       the  discriminating face aspects of the persons they represent.
       In  order  to  recognize a probe, we match it to the gallery in
       all  the  feature  spaces and fuse the results to establish the
       identity.  With  the  help  of an algorithm that we devise, the
       Discriminant  Patch  Selection, we were capable of carrying out
       experiments  to  intuitively compare the traditional approaches
       with  the  person-specific  representation.  In  the  performed 
       experiments,  the  person-specific  face  representation always
       resulted in a better identification of the faces.
  }
}