%Aigaion2 BibTeX export from Idiap Publications
%Thursday 26 December 2024 04:18:50 PM

@INPROCEEDINGS{Motlicek_ICPR_2012,
         author = {Motlicek, Petr and El Shafey, Laurent and Wallace, Roy and McCool, Chris and Marcel, S{\'{e}}bastien},
       keywords = {face verification, Speaker identification},
       projects = {Idiap, BBfor2, TA2, TABULA RASA},
          month = nov,
          title = {Bi-Modal Authentication in Mobile Environments Using Session Variability Modelling},
      booktitle = {Proceedings of the 21st International Conference on Pattern Recognition},
           year = {2012},
       crossref = {Motlicek_Idiap-RR-18-2012},
       abstract = {We present a state-of-the-art bi-modal authentication system for mobile environments, using session variability modelling. We examine inter-session variability modelling (ISV) and joint factor analysis (JFA) for both face and speaker authentication and evaluate our system on the largest bi-modal mobile authentication database available, the MOBIO database, with over 61 hours of audio-visual data captured by 150 people in uncontrolled environments on a mobile phone. Our system achieves 2.6\% and 9.7\% half total error rate for male and female trials respectively – relative improvements of 78\% and 27\% compared to previous results.},
            pdf = {https://publications.idiap.ch/attachments/papers/2012/Motlicek_ICPR_2012.pdf}
}



crossreferenced publications: 
@TECHREPORT{Motlicek_Idiap-RR-18-2012,
         author = {Motlicek, Petr and El Shafey, Laurent and Wallace, Roy and McCool, Chris and Marcel, S{\'{e}}bastien},
       keywords = {face verification, Speaker identification},
       projects = {Idiap, TABULA RASA},
          month = {7},
          title = {Bi-Modal Authentication in Mobile Environments Using Session Variability Modelling},
           type = {Idiap-RR},
         number = {Idiap-RR-18-2012},
           year = {2012},
    institution = {Idiap},
        address = {Rue Marconi 19},
       abstract = {We present a state-of-the-art bi-modal authentication
system for mobile environments, using session variability
modelling. We examine inter-session variability
modelling (ISV) and joint factor analysis (JFA) for
both face and speaker authentication and evaluate our
system on the largest bi-modal mobile authentication
database available, the MOBIO database, with over 61
hours of audio-visual data captured by 150 people in
uncontrolled environments on a mobile phone. Our system
achieves 2.6\% and 9.7\% half total error rate for
male and female trials respectively – relative improvements
of 78\% and 27\% compared to previous results.},
            pdf = {https://publications.idiap.ch/attachments/reports/2012/Motlicek_Idiap-RR-18-2012.pdf}
}