Semi-automatic Method of Searching for the Control Points in Two Facial Images
Proceedings of the International Confereces on Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017 2017
Olga Krutikova, Aleksandrs Sisojevs, Mihails Kovaļovs

In this paper a method is proposed that is meant to solve one of the subtasks of facial recognition. One of the main problems in facial recognition is trying to recognize a face from different angles, with an insufficient training set. To solve this problem it is necessary to adapt an existing three-dimensional model of the head based on two facial images (full face and profile). In this paper a semi-automatic method is proposed, that is based on modified Viola-Jones algorithm. The proposed method is used to process existing images of a person, extract the face region and main facial features from images (eyes, nose and mouth) and semi-automatically place control points on two facial images that will be later used in adapting an existing three-dimensional model of the face. The constructed model allows increasing the training set and acquiring additional information about the shape of the face.


Atslēgas vārdi
Control points, facial images, face 3D model reconstruction

Krutikova, O., Sisojevs, A., Kovaļovs, M. Semi-automatic Method of Searching for the Control Points in Two Facial Images. No: Proceedings of the International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017, Portugāle, Lisbon, 21.-23. jūlijs, 2017. Lisbon: IADIS Press, 2017, 273.-278.lpp. ISBN 978-989-8533-66-1.

Publikācijas valoda
English (en)
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