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
收藏
页码：225 / 232
页数：8
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