%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 03:05:26 PM

@INPROCEEDINGS{rodrig:2004:icpr,
         author = {Popovici, Vlad and Thiran, Jean-Philippe and Rodriguez, Yann and Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          title = {On Performance Evaluation of Face Detection and Localization Algorithms},
      booktitle = {17th International Conference on Pattern Recognition ({ICPR})},
           year = {2004},
           note = {IDIAP-RR 03-80},
       crossref = {rodrig2003-2},
       abstract = {When comparing different methods for face detection or localization, one realizes that just simply comparing the reported results is misleading as, even if the results are reported on the same dataset, different authors have different views of what a correct detection/localization means. This paper addresses exactly this problem, proposing an objective measure for the goodness of a detection/localization for the case of frontal faces. The usage of the proposed technique insures a fair and unbiased way of reporting the results, making the experiment repeatable, measurable, and comparable by anybody else.},
            pdf = {https://publications.idiap.ch/attachments/papers/2004/rodrig-icpr-2004.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/papers/2004/rodrig-icpr-2004.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{rodrig2003-2,
         author = {Popovici, Vlad and Rodriguez, Yann and Thiran, Jean-Philippe and Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          title = {On Performance Evaluation of Face Detection and Localization Algorithms},
           type = {Idiap-RR},
         number = {Idiap-RR-80-2003},
           year = {2003},
    institution = {IDIAP},
           note = {Published in International Conference on Pattern Recognition, {ICPR}, 2004},
       abstract = {When comparing different methods for face detection or localization, one realizes that just simply comparing the reported results is misleading as, even if the results are reported on the same dataset, different authors have different views of what a correct detection/localization means. This paper addresses exactly this problem, proposing an objective measure for the goodness of a detection/localization for the case of frontal faces. The usage of the proposed technique insures a fair and unbiased way of reporting the results, making the experiment repeatable, measurable, and comparable by anybody else.},
            pdf = {https://publications.idiap.ch/attachments/reports/2003/rodrig-idiap-rr-03-80.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2003/rodrig-idiap-rr-03-80.ps.gz},
ipdmembership={vision},
}