Increasing the Training Set in Face Recognition Tasks by Using a 3D Model of a Face

Olga Krutikova, Aleksandrs Glazs

Abstract


The paper proposes a method for face recognition, which uses a 3D model of the head, which is turned at different angles to extend the size of the training set. Control points are placed on the images, which have been created using the 3D model of the head, and the distance ratios between the control points are stored in the database. Face recognition algorithm would look for two images of faces in the data base which have minimal difference between the turn angles of the head and the distance ratios.

Keywords:
Face recognition, polygonal model, 3D model, training set.

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References


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DOI: 10.7250/tcc.2014.002

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