Competition on counter measures to 2-D facial spoofing attacks

Título:	Competition on counter measures to 2-D facial spoofing attacks
Autores/as:	Mohan Chakka, Murali Anjos, André Marcel, Sébastien Tronci, Roberto Muntoni, Daniele Fadda, Gianluca Pili, Maurizio Sirena, Nicola Murgia, Gabriele Ristori, Marco Roli, Fabio Yan, Junjie Yi, Dong Lei, Zhen Zhang, Zhiwei Li, Stan Z. Schwartz, William Robson Rocha, Anderson Pedrini, Helio Lorenzo-Navarro, Javier Castrillón-Santana, Modesto Määttä, Jukka Hadid, Abdenour Pietikäinen, Matti
Clasificación UNESCO:	120304 Inteligencia artificial
Fecha de publicación:	2011
Conferencia:	2011 International Joint Conference on Biometrics, IJCB 2011
Resumen:	Spoofing identities using photographs is one of the most common techniques to attack 2-D face recognition systems. There seems to exist no comparative stud- ies of di erent techniques using the same protocols and data. The motivation behind this competition is to com- pare the performance of di erent state-of-the-art algo- rithms on the same database using a unique evaluation method. Six di erent teams from universities around the world have participated in the contest.
URI:	http://hdl.handle.net/10553/15082
ISBN:	9781457713583
DOI:	10.1109/IJCB.2011.6117509
Fuente:	2011 International Joint Conference on Biometrics, IJCB 2011 [ISBN 9781457713583]
Colección:	Actas de congresos

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