The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Computer Vision and Image Understanding
A Video Database of Moving Faces and People
IEEE Transactions on Pattern Analysis and Machine Intelligence
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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Pattern Recognition
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Pattern Recognition Letters
Journal of Cognitive Neuroscience
Experimental Analysis of Face Recognition on Still and CCTV Images
AVSS '08 Proceedings of the 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance
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Computer Vision and Image Understanding
The BANCA database and evaluation protocol
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Measuring measures for face sample quality
MiFor '11 Proceedings of the 3rd international ACM workshop on Multimedia in forensics and intelligence
M-VIVIE: A multi-thread video indexer via identity extraction
Pattern Recognition Letters
Pattern Recognition Letters
Lucas-Kanade based entropy congealing for joint face alignment
Image and Vision Computing
Overlapping local phase feature (OLPF) for robust face recognition in surveillance
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
An open source framework for standardized comparisons of face recognition algorithms
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Low-resolution face recognition: a review
The Visual Computer: International Journal of Computer Graphics
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In this paper we describe a database of static images of human faces. Images were taken in uncontrolled indoor environment using five video surveillance cameras of various qualities. Database contains 4,160 static images (in visible and infrared spectrum) of 130 subjects. Images from different quality cameras should mimic real-world conditions and enable robust face recognition algorithms testing, emphasizing different law enforcement and surveillance use case scenarios. In addition to database description, this paper also elaborates on possible uses of the database and proposes a testing protocol. A baseline Principal Component Analysis (PCA) face recognition algorithm was tested following the proposed protocol. Other researchers can use these test results as a control algorithm performance score when testing their own algorithms on this dataset. Database is available to research community through the procedure described at www.scface.org .