3D face recognition algorithm based on nose tip contour and radial curve

Human expression variations will cause non-rigid deformation of face scans, this is a challenge in face recognition research. Many rigid registration methods can not achieve good results in dealing with this problem. In this article, a novel method to avoid the influence of non rigid deformation on...

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Bibliographic Details
Published in:Multimedia tools and applications Vol. 81; no. 17; pp. 23889 - 23912
Main Authors: Tang, Linlin, Li, Zhangyan, Liu, Yang, Qi, Shuhan, Zhang, Jiajia, Pan, Jiancheng, Shi, Shuaijie
Format: Journal Article
Language:English
Published: New York Springer US 01.07.2022
Springer Nature B.V
Subjects:
Algorithms
Computer Communication Networks
Computer Science
Contour matching
Data Structures and Information Theory
Face recognition
Mathematical analysis
Methods
Multimedia
Multimedia Information Systems
Nose tips
Principal components analysis
Special Purpose and Application-Based Systems
Geodesic contour
Radical curve
3D face recognition
ISSN:1380-7501, 1573-7721
Online Access:Get full text
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Summary:Human expression variations will cause non-rigid deformation of face scans, this is a challenge in face recognition research. Many rigid registration methods can not achieve good results in dealing with this problem. In this article, a novel method to avoid the influence of non rigid deformation on face recognition which uses radial curve and geodesic contour as features for matching is proposed. It can also reduce data size and speed up calculation. Shape analysis algorithm is also introduced to calculate geodesic distance of corresponding 3D curve of the simplified face as the basis of classification. Experimental results show its high efficiency.
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-022-12730-5