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Common mistakes on face recognition based on video

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2012

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Gesellschaft für Informatik e.V.

Zusammenfassung

Automatic border control e gates relies on face recognition in video streams. Two family of methods could be imagined to define a common workflow: encode all that is possible or select the best image of the stream according to a quality assessment. In gates, giving an answer as soon as possible by encoding each and every possible image seems to lead to faster gates. Is it really the case?

Beschreibung

Despiegel, Vincent; Gentric, Stéphane (2012): Common mistakes on face recognition based on video. BIOSIG 2012. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-290-1. pp. 429-432. Regular Research Papers. Darmstadt. 06.-07. September 2012

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