Semi-Automatic Method of Face Recognition based on Extended Training Set
Olga Krutikova, Aleksandrs Glazs · 2014
The existing algorithms of face recognition are designed to be used with adequate training samples (different positions of the face, special conditions, etc.). Therefore, in this paper we propose a semi-automatic method of face recognition that is based on extending the training sample by using a 3D model of a head. The recognition algorithm uses control points and relations between them. The experimental results show the efficiency of the proposed approach.