Santemiz, PinarSpreeuwers, Luuk J.Veldhuis, Raymond N. J.Brömme, ArslanBusch, Christoph2018-10-312018-10-312013978-3-88579-606-0https://dl.gi.de/handle/20.500.12116/17688In 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. .enText/Conference Paper1617-5468