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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1   pp. 313-317
On Performance Evaluation of Face Detection and Localization Algorithms
Vlad Popovici, Swiss Federal Institute of Technology, Switzerland
Jean-Philippe Thiran, Swiss Federal Institute of Technology, Switzerland
Yann Rodriguez, Dalle Molle Institute of Perceptual Intelligence, Switzerland
Marcel Marcel, Dalle Molle Institute of Perceptual Intelligence, Switzerland

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334115
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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.
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Citation:  Vlad Popovici, Jean-Philippe Thiran, Yann Rodriguez, Marcel Marcel, "On Performance Evaluation of Face Detection and Localization Algorithms," icpr, pp. 313-317,  17th International Conference on Pattern Recognition (ICPR'04) - Volume 1,  2004