Abstract
Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realise facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include the potential of boosting the system accuracy and deterring spoof attacks. This paper presents the first known benchmarking effort of person identity verification using facial video data. The evaluation involves 18 systems submitted by seven academic institutes. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Poh, N., Chan, C. H., Kittler, J., Marcel, S., Cool, C. M., Rúa, E. A., … Costen, N. (2009). Face video competition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5558 LNCS, pp. 715–724). https://doi.org/10.1007/978-3-642-01793-3_73
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