Constructing 3D facial hierarchical structure based on surface measurements

In this paper, we propose a novel framework for 3D facial similarity measures and facial data organization. The 3D facial similarity measures of our method are based on iso-geodesic stripes and conformal parameterization. Using the conformal parameterization, the 3D facial surface can be mapped into...

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Bibliographic Details
Published in:Multimedia tools and applications 2019-06, Vol.78 (11), p.14753-14776
Main Authors: Lv, Chenlei, Wu, Zhongke, Wang, Xingce, Zhou, Mingquan
Format: Article
Language:English
Subjects:
Computer Communication Networks
Computer Science
Construction
Data Structures and Information Theory
Multimedia Information Systems
Parameterization
Searching
Similarity
Similarity measures
Special Purpose and Application-Based Systems
Structural hierarchy
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Summary:In this paper, we propose a novel framework for 3D facial similarity measures and facial data organization. The 3D facial similarity measures of our method are based on iso-geodesic stripes and conformal parameterization. Using the conformal parameterization, the 3D facial surface can be mapped into a 2D domain and the iso-geodesic stripes of the face can be measured. The measure results can be regarded as the similarity of faces, which is robust to head poses and facial expressions. Based on the measure result, a hierarchical structure of faces can be constructed, which is used to organize different faces. The structure can be utilized to accelerate the face searching speed in a large database. In experiment, we construct the hierarchical structures from two public facial databases: Gavab and Texas3D. The searching speed based on the structure can be increased by 4-6 times without accuracy loss of recognition.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-018-6839-y