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

Abstract: 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 side-view 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.

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

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 side-view 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 sideview face images from CMU-Multi PIE database. We achieve 95.95% accuracy on detecting landmarks, and 89.04% accuracy on identification