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Proceedings Paper

GUCLF: a new light field face database
Author(s): R. Raghavendra; Kiran B. Raja; Bian Yang; Christoph Busch
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Paper Abstract

The advancement in face recognition algorithm has a strong relationship with the availability of face databases that exhibit varying factors reflecting real life scenarios. The GUCLF face database is the first of its kind that can strongly influence the advancement in face recognition technology. In this paper, we introduce and describe our new face samples database collected using Lytro light field camera. The database consists of 200 reference samples and 303 probe samples collected from 25 subjects. The reference samples are collected in the controlled conditions using Canon EOS 550D DSLR camera. While probe samples are captured using both conventional digital camera (Sony DSC-S750) and Lytro light field camera. The probe samples are captured in three different scenarios: indoor, corridor and outdoor to include all possible real life conditions. In addition to the database description, this paper also elaborates on possible uses of the collected database and proposes a testing protocol. Further, we also present the quantitative results from the baseline experiments using the Kernel Discriminant Analysis (KDA).

Paper Details

Date Published: 18 November 2013
PDF: 6 pages
Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 8785DB (18 November 2013); doi: 10.1117/12.2026184
Show Author Affiliations
R. Raghavendra, Gjøvik Univ. College (Norway)
Kiran B. Raja, Gjøvik Univ. College (Norway)
Bian Yang, Gjøvik Univ. College (Norway)
Christoph Busch, Gjøvik Univ. College (Norway)


Published in SPIE Proceedings Vol. 8785:
8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications
Manuel Filipe P. C. Martins Costa, Editor(s)

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