Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition

Ioannis Pitas; Konstantinos Papachristou; Anastasios Tefas

doi:10.1109/EUSIPCO.2015.7362364

Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition

Ioannis Pitas, Konstantinos Papachristou, Anastasios Tefas

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

334 Downloads (Pure)

Abstract

Subspace learning techniques are among the most popular methods for face recognition. In this paper, we propose a novel face recognition technique for two dimensional subspace learning which is able to exploit the symmetry nature
of human faces. We extent the Two Dimensional Clustering based Discriminant Analysis (2DCDA) by incorporating an appropriate symmetry regularizer into its objective function in order to determine symmetric projection vectors. The
proposed Symmetric Two Dimensional Clustering based Discriminant Analysis technique has been applied to the face recognition problem. Experimental results showed that the proposed technique achieves better classification performance
in comparison to the standard one.

Original language	English
Title of host publication	2015 23rd European Signal Processing Conference (EUSIPCO)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	155-159
Number of pages	5
ISBN (Electronic)	9780992862633
ISBN (Print)	9781479988518
DOIs	https://doi.org/10.1109/EUSIPCO.2015.7362364
Publication status	Published - 28 Dec 2015
Event	23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France Duration: 31 Aug 2015 → 4 Sept 2015

Publication series

Name	Proceedings of the European Signal Processing Conference (EUSIPCO)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2219-5491

Conference

Conference	23rd European Signal Processing Conference, EUSIPCO 2015
Country/Territory	France
City	Nice
Period	31/08/15 → 4/09/15

Keywords

face recognition
subspace learning
symmetry regularizer
two-dimentional clustering-based discriminant analysis

Access to Document

10.1109/EUSIPCO.2015.7362364

Ioannis Pitas - Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition - 2015Accepted author manuscript, 277 KB

Handle.net

Persistent link

Cite this

Pitas, I., Papachristou, K., & Tefas, A. (2015). Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. In 2015 23rd European Signal Processing Conference (EUSIPCO) (pp. 155-159). (Proceedings of the European Signal Processing Conference (EUSIPCO)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EUSIPCO.2015.7362364

Pitas, Ioannis ; Papachristou, Konstantinos ; Tefas, Anastasios. / Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. 2015 23rd European Signal Processing Conference (EUSIPCO). Institute of Electrical and Electronics Engineers (IEEE), 2015. pp. 155-159 (Proceedings of the European Signal Processing Conference (EUSIPCO)).

@inproceedings{27884de00d364c6a934c52856bc00ca1,

title = "Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition",

abstract = "Subspace learning techniques are among the most popular methods for face recognition. In this paper, we propose a novel face recognition technique for two dimensional subspace learning which is able to exploit the symmetry nature of human faces. We extent the Two Dimensional Clustering based Discriminant Analysis (2DCDA) by incorporating an appropriate symmetry regularizer into its objective function in order to determine symmetric projection vectors. The proposed Symmetric Two Dimensional Clustering based Discriminant Analysis technique has been applied to the face recognition problem. Experimental results showed that the proposed technique achieves better classification performance in comparison to the standard one.",

keywords = "face recognition, subspace learning, symmetry regularizer, two-dimentional clustering-based discriminant analysis",

author = "Ioannis Pitas and Konstantinos Papachristou and Anastasios Tefas",

year = "2015",

month = dec,

day = "28",

doi = "10.1109/EUSIPCO.2015.7362364",

language = "English",

isbn = "9781479988518",

series = "Proceedings of the European Signal Processing Conference (EUSIPCO)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "155--159",

booktitle = "2015 23rd European Signal Processing Conference (EUSIPCO)",

address = "United States",

note = "23rd European Signal Processing Conference, EUSIPCO 2015 ; Conference date: 31-08-2015 Through 04-09-2015",

}

Pitas, I, Papachristou, K & Tefas, A 2015, Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. in 2015 23rd European Signal Processing Conference (EUSIPCO). Proceedings of the European Signal Processing Conference (EUSIPCO), Institute of Electrical and Electronics Engineers (IEEE), pp. 155-159, 23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, 31/08/15. https://doi.org/10.1109/EUSIPCO.2015.7362364

Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. / Pitas, Ioannis; Papachristou, Konstantinos; Tefas, Anastasios.
2015 23rd European Signal Processing Conference (EUSIPCO). Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 155-159 (Proceedings of the European Signal Processing Conference (EUSIPCO)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition

AU - Pitas, Ioannis

AU - Papachristou, Konstantinos

AU - Tefas, Anastasios

PY - 2015/12/28

Y1 - 2015/12/28

N2 - Subspace learning techniques are among the most popular methods for face recognition. In this paper, we propose a novel face recognition technique for two dimensional subspace learning which is able to exploit the symmetry nature of human faces. We extent the Two Dimensional Clustering based Discriminant Analysis (2DCDA) by incorporating an appropriate symmetry regularizer into its objective function in order to determine symmetric projection vectors. The proposed Symmetric Two Dimensional Clustering based Discriminant Analysis technique has been applied to the face recognition problem. Experimental results showed that the proposed technique achieves better classification performance in comparison to the standard one.

AB - Subspace learning techniques are among the most popular methods for face recognition. In this paper, we propose a novel face recognition technique for two dimensional subspace learning which is able to exploit the symmetry nature of human faces. We extent the Two Dimensional Clustering based Discriminant Analysis (2DCDA) by incorporating an appropriate symmetry regularizer into its objective function in order to determine symmetric projection vectors. The proposed Symmetric Two Dimensional Clustering based Discriminant Analysis technique has been applied to the face recognition problem. Experimental results showed that the proposed technique achieves better classification performance in comparison to the standard one.

KW - face recognition

KW - subspace learning

KW - symmetry regularizer

KW - two-dimentional clustering-based discriminant analysis

U2 - 10.1109/EUSIPCO.2015.7362364

DO - 10.1109/EUSIPCO.2015.7362364

M3 - Conference Contribution (Conference Proceeding)

SN - 9781479988518

T3 - Proceedings of the European Signal Processing Conference (EUSIPCO)

SP - 155

EP - 159

BT - 2015 23rd European Signal Processing Conference (EUSIPCO)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 23rd European Signal Processing Conference, EUSIPCO 2015

Y2 - 31 August 2015 through 4 September 2015

ER -

Pitas I, Papachristou K, Tefas A. Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. In 2015 23rd European Signal Processing Conference (EUSIPCO). Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 155-159. (Proceedings of the European Signal Processing Conference (EUSIPCO)). Epub 2015 Aug 31. doi: 10.1109/EUSIPCO.2015.7362364

Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition

Abstract

Publication series

Conference

Keywords

Access to Document

Handle.net

Fingerprint

Cite this