University of Hertfordshire

By the same authors

3D Face Recognition: Feature Extraction based on Directional Signatures From Range Data and Disparity Maps

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

Standard

3D Face Recognition : Feature Extraction based on Directional Signatures From Range Data and Disparity Maps. / Ramalingam, Soodamani.

Procs IEEE Int Conf on Systems, Man and Cybernetics 2013. IEEE, 2013. p. 4397-4402.

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

Harvard

Ramalingam, S 2013, 3D Face Recognition: Feature Extraction based on Directional Signatures From Range Data and Disparity Maps. in Procs IEEE Int Conf on Systems, Man and Cybernetics 2013. IEEE, pp. 4397-4402, IEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013, Manchester, United Kingdom, 13/10/13. https://doi.org/10.1109/SMC.2013.750

APA

Vancouver

Author

Ramalingam, Soodamani. / 3D Face Recognition : Feature Extraction based on Directional Signatures From Range Data and Disparity Maps. Procs IEEE Int Conf on Systems, Man and Cybernetics 2013. IEEE, 2013. pp. 4397-4402

Bibtex

@inproceedings{a8b8fb14cb3d446c84e19d69085d399b,
title = "3D Face Recognition: Feature Extraction based on Directional Signatures From Range Data and Disparity Maps",
abstract = "In this paper, the author presents a work on i) range data and ii) stereo-vision system based disparity map profiling that are used as signatures for 3D face recognition. The signatures capture the intensity variations along a line at sample points on a face in any particular direction. The directional signatures and some of their combinations are compared to study the variability in recognition performances. Two 3D face image datasets namely, a local student database captured with a stereo vision system and the FRGC v1 range dataset are used for performance evaluation.",
author = "Soodamani Ramalingam",
year = "2013",
month = oct,
day = "14",
doi = "10.1109/SMC.2013.750",
language = "English",
isbn = "978-0-7695-5154-8",
pages = "4397--4402",
booktitle = "Procs IEEE Int Conf on Systems, Man and Cybernetics 2013",
publisher = "IEEE",
note = "IEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013 ; Conference date: 13-10-2013 Through 16-10-2013",

}

RIS

TY - GEN

T1 - 3D Face Recognition

T2 - IEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013

AU - Ramalingam, Soodamani

PY - 2013/10/14

Y1 - 2013/10/14

N2 - In this paper, the author presents a work on i) range data and ii) stereo-vision system based disparity map profiling that are used as signatures for 3D face recognition. The signatures capture the intensity variations along a line at sample points on a face in any particular direction. The directional signatures and some of their combinations are compared to study the variability in recognition performances. Two 3D face image datasets namely, a local student database captured with a stereo vision system and the FRGC v1 range dataset are used for performance evaluation.

AB - In this paper, the author presents a work on i) range data and ii) stereo-vision system based disparity map profiling that are used as signatures for 3D face recognition. The signatures capture the intensity variations along a line at sample points on a face in any particular direction. The directional signatures and some of their combinations are compared to study the variability in recognition performances. Two 3D face image datasets namely, a local student database captured with a stereo vision system and the FRGC v1 range dataset are used for performance evaluation.

U2 - 10.1109/SMC.2013.750

DO - 10.1109/SMC.2013.750

M3 - Conference contribution

SN - 978-0-7695-5154-8

SP - 4397

EP - 4402

BT - Procs IEEE Int Conf on Systems, Man and Cybernetics 2013

PB - IEEE

Y2 - 13 October 2013 through 16 October 2013

ER -