Semi-Automatic Method of Face Recognition based on Extended Training Set

Biomedical Engineering - 2014 : Proceedings of 18th International Conference 2014
Olga Krutikova, Aleksandrs Glazs

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.

Atslēgas vārdi
Face recognition, training set
Hipersaite
http://www.biomed.ktu.lt/index.php/BME/article/view/1187/78

Krutikova, O., Glazs, A. Semi-Automatic Method of Face Recognition based on Extended Training Set. No: Biomedical Engineering - 2014 : Proceedings of 18th International Conference, Lietuva, Kaunas, 27.-28. novembris, 2014. Kaunas: Technologija, 2014, 148.-152.lpp. ISSN 2029-3380.

Publikācijas valoda
English (en)