University of Hertfordshire

By the same authors

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition. / Ramalingam, Soodamani; Mariappan, Uma Maheswari.

2016 IEEE International Carnahan Conference on Security Technology. US : IEEE, 2017. 978-1-5090-1072-1/16/$31.00 ©2016 IEEE.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Ramalingam, S & Mariappan, UM 2017, A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition. in 2016 IEEE International Carnahan Conference on Security Technology., 978-1-5090-1072-1/16/$31.00 ©2016 IEEE, IEEE, US, IEEE International Carnahan Conference on Security Technology, Orlando, Florida, United States, 24/10/16. https://doi.org/10.1109/CCST.2016.7815709

APA

Ramalingam, S., & Mariappan, U. M. (2017). A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition. In 2016 IEEE International Carnahan Conference on Security Technology [978-1-5090-1072-1/16/$31.00 ©2016 IEEE] IEEE. https://doi.org/10.1109/CCST.2016.7815709

Vancouver

Ramalingam S, Mariappan UM. A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition. In 2016 IEEE International Carnahan Conference on Security Technology. US: IEEE. 2017. 978-1-5090-1072-1/16/$31.00 ©2016 IEEE https://doi.org/10.1109/CCST.2016.7815709

Author

Ramalingam, Soodamani ; Mariappan, Uma Maheswari. / A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition. 2016 IEEE International Carnahan Conference on Security Technology. US : IEEE, 2017.

Bibtex

@inproceedings{77489035be894701b83587b3dd27990c,
title = "A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition",
abstract = "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 intervalvalued 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 iscombinatorial and complex.",
keywords = "disparity maps, fuzzy interval MCDM, TOPSIS, 3d FACE RECOGNITION, range data",
author = "Soodamani Ramalingam and Mariappan, {Uma Maheswari}",
note = "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. ; IEEE International Carnahan Conference on Security Technology ; Conference date: 24-10-2016 Through 27-10-2016",
year = "2017",
month = jan,
day = "16",
doi = "10.1109/CCST.2016.7815709",
language = "English",
isbn = "978-1-5090-1073-8",
booktitle = "2016 IEEE International Carnahan Conference on Security Technology",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition

AU - Ramalingam, Soodamani

AU - Mariappan, Uma Maheswari

N1 - 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.

PY - 2017/1/16

Y1 - 2017/1/16

N2 - 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 intervalvalued 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 iscombinatorial and complex.

AB - 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 intervalvalued 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 iscombinatorial and complex.

KW - disparity maps

KW - fuzzy interval MCDM

KW - TOPSIS

KW - 3d FACE RECOGNITION

KW - range data

U2 - 10.1109/CCST.2016.7815709

DO - 10.1109/CCST.2016.7815709

M3 - Conference contribution

SN - 978-1-5090-1073-8

BT - 2016 IEEE International Carnahan Conference on Security Technology

PB - IEEE

CY - US

T2 - IEEE International Carnahan Conference on Security Technology

Y2 - 24 October 2016 through 27 October 2016

ER -