A Fuzzy Interval Valued Fusion Technique for Multi-Modal 3D Face Recognition

被引：0

作者：

Ramalingam, Soodamani ^{[1
]}

Maheswari, Uma ^{[2
]}

机构：

[1] Univ Hertfordshire, Sch Engn & Technol, Hatfield AL10 9AB, Herts, England

[2] Kamaraj Coll Engn & Technol, Dept Math, Virudunagar, India

来源：

2016 IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST) | 2016年

关键词：

fuzzy interval MCDM; TOPSIS; 3D Face Recognition; Range Data; Disparity Maps; DECISION-MAKING;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposes a fuzzy interval valued multi-criteria decision making (MCDM) technique that aggregates information from multi-modal feature sets during decision making in a 3D face recognition system. In this paper, an interval valued fuzzy TOPSIS technique is applied to a 3D face recognition system that is benchmarked against a set of databases. Such a system is shown to be useful in decision making when the choice of alternatives of the feature sets is combinatorial and complex.

引用

页码：225 / 232

页数：8

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