Title:	SEMI-AUTOMATIC METHOD OF SEARCHING FOR THE CONTROL POINTS IN TWO FACIAL IMAGES
Author(s):	Olga Krutikova, Aleksandrs Sisojevs and Mihails Kovalovs
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	Control points, facial images, face 3D model reconstruction
Type:	Short Paper
First Page:	273
Last Page:	278
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	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.
	Go Back