Biometric Sensor Interoperability: A Case Study in 3D Face Recognition

Javier Galbally; Riccardo Satta

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Biometric Sensor Interoperability: A Case Study in 3D Face Recognition

Topics: Biometrics; Classification

In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 199-204, 2016 , Rome, Italy

Authors: Javier Galbally and Riccardo Satta

Affiliation: IPSC, Italy

Keyword(s): 3D Face Recognition, Interoperability, 3D Face Database.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Classification ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications ; Theory and Methods

Abstract: Biometric systems typically suffer a significant loss of performance when the acquisition sensor is changed between enrolment and authentication. Such a problem, commonly known as sensor interoperability, poses a serious challenge to the accuracy of matching algorithms. The present work addresses for the first time the sensor interoperability issue in 3D face recognition systems, analysing the performance of two popular and well known techniques for 3D facial authentication. For this purpose, a new gender-balanced database comprising 3D data of 26 subjects has been acquired using two devices belonging to the new generation of low-cost 3D sensors. The results show the high sensor-dependency of the tested systems and the need to develop matching algorithms robust to the variation in the sensor resolution.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.15.203.242

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Galbally, J. and Satta, R. (2016). Biometric Sensor Interoperability: A Case Study in 3D Face Recognition. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 199-204. DOI: 10.5220/0005682501990204

@conference{icpram16,
author={Javier Galbally. and Riccardo Satta.},
title={Biometric Sensor Interoperability: A Case Study in 3D Face Recognition},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2016},
pages={199-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005682501990204},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Biometric Sensor Interoperability: A Case Study in 3D Face Recognition
SN - 978-989-758-173-1
IS - 2184-4313
AU - Galbally, J.
AU - Satta, R.
PY - 2016
SP - 199
EP - 204
DO - 10.5220/0005682501990204
PB - SciTePress