Block selection in the local appearance-based face recognition scheme

Hazim Kemal Ekenel; Rainer Stiefelhagen

doi:10.1109/CVPRW.2006.46

Block selection in the local appearance-based face recognition scheme

Hazim Kemal Ekenel^*, Rainer Stiefelhagen

^*Corresponding author for this work

Karlsruhe Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

In this paper we investigate the benefits of using a local appearance-based face recognition scheme against the problem of facial occlusion. We proposed two separate automatic block selection approaches to select the local image blocks that could be used for classification. Proposed approaches are tested against both upper and lower facial occlusions using the AR face database. Significant improvements are observed in the face recognition performance.

Original language	English
Title of host publication	2006 Conference on Computer Vision and Pattern Recognition Workshop
DOIs	https://doi.org/10.1109/CVPRW.2006.46
Publication status	Published - 2006
Externally published	Yes
Event	2006 Conference on Computer Vision and Pattern Recognition Workshops - New York, NY, United States Duration: 17 Jun 2006 → 22 Jun 2006

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	2006
ISSN (Print)	1063-6919

Conference

Conference	2006 Conference on Computer Vision and Pattern Recognition Workshops
Country/Territory	United States
City	New York, NY
Period	17/06/06 → 22/06/06

Access to Document

10.1109/CVPRW.2006.46

Cite this

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title = "Block selection in the local appearance-based face recognition scheme",

abstract = "In this paper we investigate the benefits of using a local appearance-based face recognition scheme against the problem of facial occlusion. We proposed two separate automatic block selection approaches to select the local image blocks that could be used for classification. Proposed approaches are tested against both upper and lower facial occlusions using the AR face database. Significant improvements are observed in the face recognition performance.",

author = "Ekenel, {Hazim Kemal} and Rainer Stiefelhagen",

year = "2006",

doi = "10.1109/CVPRW.2006.46",

language = "English",

isbn = "0769526462",

series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

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note = "2006 Conference on Computer Vision and Pattern Recognition Workshops ; Conference date: 17-06-2006 Through 22-06-2006",

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Ekenel, HK & Stiefelhagen, R 2006, Block selection in the local appearance-based face recognition scheme. in 2006 Conference on Computer Vision and Pattern Recognition Workshop., 1640483, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshops, New York, NY, United States, 17/06/06. https://doi.org/10.1109/CVPRW.2006.46

Block selection in the local appearance-based face recognition scheme. / Ekenel, Hazim Kemal; Stiefelhagen, Rainer.
2006 Conference on Computer Vision and Pattern Recognition Workshop. 2006. 1640483 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ekenel, Hazim Kemal

AU - Stiefelhagen, Rainer

PY - 2006

Y1 - 2006

N2 - In this paper we investigate the benefits of using a local appearance-based face recognition scheme against the problem of facial occlusion. We proposed two separate automatic block selection approaches to select the local image blocks that could be used for classification. Proposed approaches are tested against both upper and lower facial occlusions using the AR face database. Significant improvements are observed in the face recognition performance.

AB - In this paper we investigate the benefits of using a local appearance-based face recognition scheme against the problem of facial occlusion. We proposed two separate automatic block selection approaches to select the local image blocks that could be used for classification. Proposed approaches are tested against both upper and lower facial occlusions using the AR face database. Significant improvements are observed in the face recognition performance.

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DO - 10.1109/CVPRW.2006.46

M3 - Conference contribution

AN - SCOPUS:33845542149

SN - 0769526462

SN - 9780769526461

T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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ER -

Block selection in the local appearance-based face recognition scheme

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