Automatic landmark detection and face recognition for side-view face images

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Abstract

In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic side-view face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to determine their location in the house. Here, we introduce a recognition method, where we detect facial landmarks automatically for registration and identify faces. We test our system on sideview face images from CMU-Multi PIE database. We achieve 95.95% accuracy on detecting landmarks, and 89.04% accuracy on identification.
Original languageUndefined
Title of host publication2013 International Conference of the BIOSIG Special Interest Group (BIOSIG)
EditorsArslan Broemme, Christoph Busch
PublisherIEEE
Pages337-344
Number of pages8
ISBN (Print)978-3-88579-606-0
Publication statusPublished - 5 Sep 2013
Event12th International Conference of the Biometrics Special Interest Group, BIOSIG 2013 - Darmstadt, Germany
Duration: 4 Sep 20136 Sep 2013
Conference number: 12

Publication series

NameLecture Notes in Informatics (LNI) - Proceedings
PublisherGesellschaft für Informatik
VolumeP-212
ISSN (Print)1617-5468

Conference

Conference12th International Conference of the Biometrics Special Interest Group, BIOSIG 2013
Abbreviated titleBIOSIG 2013
CountryGermany
CityDarmstadt
Period4/09/136/09/13

Keywords

  • SCS-Safety

Cite this

Santemiz, P., Spreeuwers, L. J., & Veldhuis, R. N. J. (2013). Automatic landmark detection and face recognition for side-view face images. In A. Broemme, & C. Busch (Eds.), 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG) (pp. 337-344). (Lecture Notes in Informatics (LNI) - Proceedings; Vol. P-212). IEEE.
Santemiz, P. ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. / Automatic landmark detection and face recognition for side-view face images. 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG). editor / Arslan Broemme ; Christoph Busch. IEEE, 2013. pp. 337-344 (Lecture Notes in Informatics (LNI) - Proceedings).
@inproceedings{5e4b3a3433e344e89fcec956fba1a4a5,
title = "Automatic landmark detection and face recognition for side-view face images",
abstract = "In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic side-view face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to determine their location in the house. Here, we introduce a recognition method, where we detect facial landmarks automatically for registration and identify faces. We test our system on sideview face images from CMU-Multi PIE database. We achieve 95.95{\%} accuracy on detecting landmarks, and 89.04{\%} accuracy on identification.",
keywords = "SCS-Safety",
author = "P. Santemiz and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.}",
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isbn = "978-3-88579-606-0",
series = "Lecture Notes in Informatics (LNI) - Proceedings",
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}

Santemiz, P, Spreeuwers, LJ & Veldhuis, RNJ 2013, Automatic landmark detection and face recognition for side-view face images. in A Broemme & C Busch (eds), 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG). Lecture Notes in Informatics (LNI) - Proceedings, vol. P-212, IEEE, pp. 337-344, 12th International Conference of the Biometrics Special Interest Group, BIOSIG 2013, Darmstadt, Germany, 4/09/13.

Automatic landmark detection and face recognition for side-view face images. / Santemiz, P.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

2013 International Conference of the BIOSIG Special Interest Group (BIOSIG). ed. / Arslan Broemme; Christoph Busch. IEEE, 2013. p. 337-344 (Lecture Notes in Informatics (LNI) - Proceedings; Vol. P-212).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Automatic landmark detection and face recognition for side-view face images

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N2 - In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic side-view face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to determine their location in the house. Here, we introduce a recognition method, where we detect facial landmarks automatically for registration and identify faces. We test our system on sideview face images from CMU-Multi PIE database. We achieve 95.95% accuracy on detecting landmarks, and 89.04% accuracy on identification.

AB - In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic side-view face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to determine their location in the house. Here, we introduce a recognition method, where we detect facial landmarks automatically for registration and identify faces. We test our system on sideview face images from CMU-Multi PIE database. We achieve 95.95% accuracy on detecting landmarks, and 89.04% accuracy on identification.

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T3 - Lecture Notes in Informatics (LNI) - Proceedings

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Santemiz P, Spreeuwers LJ, Veldhuis RNJ. Automatic landmark detection and face recognition for side-view face images. In Broemme A, Busch C, editors, 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG). IEEE. 2013. p. 337-344. (Lecture Notes in Informatics (LNI) - Proceedings).