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

Ramalingam, Soodamani and Mariappan, Uma Maheswari (2017) A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition. In: 2016 IEEE International Carnahan Conference on Security Technology :. Institute of Electrical and Electronics Engineers (IEEE), USA. ISBN 978-1-5090-1073-8
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This paper proposes a fuzzy interval valued multicriteria 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.
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Additional information Soodamani, R & Vimal, V (2016), Vehicle Detection for Traffic Flow Analysis, ICCST2016, Paper presented at the IEEE International Carnahan Conference on Security Technology, 24-27 October 2016, Orlando, Florida. This is the Accepted Manuscript version. The Version of Record is available online at IEEE Explore, doi: https://doi.org/10.1109/CCST.2016.7815709.
Keywords disparity maps, fuzzy interval mcdm, topsis, 3d face recognition, range data
Date Deposited 15 May 2025 16:37
Last Modified 30 May 2025 23:15

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