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Automatic landmark detection and face recognition for side-view face images

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2013

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Gesellschaft für Informatik e.V.

Zusammenfassung

In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic sideview face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to determine their location in the house. Here, we introduce a recognition method, where we detect facial landmarks automatically for registration and identify faces. We test our system on side-view face images from CMU-Multi PIE database. We achieve 95 95% accuracy on detecting . landmarks, and 89 04% accuracy on identification. .

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Santemiz, Pinar; Spreeuwers, Luuk J.; Veldhuis, Raymond N. J. (2013): Automatic landmark detection and face recognition for side-view face images. BIOSIG 2013. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-606-0. pp. 337-344. Regular Research Papers. Darmstadt. 04.-06. September 2013

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