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The FERET evaluation methodology for face recognition algorithms

by P. Jonathon Phillips, Hyeonjoon Moon, Syed A. Rizvi, Patrick J. Rauss - In (a) Example 1 (b) Example 1 (c) Right ear) (d) Mirroed Left ear
"... AbstractÐTwo of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial i ..."
Abstract - Cited by 1116 (26 self) - Add to MetaCart
AbstractÐTwo of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial

Comparisons of Face Recognition Algorithms

by Manuel Günther, Roy Wallace, Sébastien Marcel, Manuel Günther, Roy Wallace, Sébastien Marcel , 2012
"... Abstract. In this paper we introduce the facereclib, the first software library that allows to compare a variety of face recognition algorithms on most of the known facial image databases and that permits rapid prototyping of novel ideas and testing of meta-parameters of face recognition algorithms. ..."
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Abstract. In this paper we introduce the facereclib, the first software library that allows to compare a variety of face recognition algorithms on most of the known facial image databases and that permits rapid prototyping of novel ideas and testing of meta-parameters of face recognition algorithms

Selected Face Recognition Algorithms

by Adebayo Kolawole John, Onifade Olufade Williams, Adekoya Adewale M
"... Abstract — Continuous miniaturization of mobile devices has greatly increased its adoption and use by people in various facets of our lives. This has also increased the popularity of face recognition and image processing. Face recognition is now being employed for security purpose opening up the nee ..."
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recognition systems. We studied and implemented three well known face recognition algorithms and observed their recognition accuracy when gallery / probe images were compressed and/or uncompressed as one would naturally expect. For compression purposes, we adopted the JPEG and JPEG2000 coding standard

Modelling Distance Functions Induced by Face Recognition Algorithms

by Soumee Chaudhari, Soumee Chaudhari , 2004
"... Modeling distance functions induced by face recognition algorithms ..."
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Modeling distance functions induced by face recognition algorithms

Face recognition algorithms surpass humans

by Alice J. O’toole, P. Jonathon Phillips, Senior Member, Fang Jiang, Janet Ayyad, Nils Pénard, Hervé Abdi - IEEE Trans. PAMI , 2005
"... Abstract—There has been significant progress in improving the performance of computer-based face recognition algorithms over the last decade. Although algorithms have been tested and compared extensively with each other, there has been remarkably little work comparing the accuracy of computer-based ..."
Abstract - Cited by 49 (7 self) - Add to MetaCart
Abstract—There has been significant progress in improving the performance of computer-based face recognition algorithms over the last decade. Although algorithms have been tested and compared extensively with each other, there has been remarkably little work comparing the accuracy of computer

Faceperf: Benchmarks for face recognition algorithms

by David S. Bolme, Michelle Strout, J. Ross Beveridge - Workload Characterization, 2007. IISWC 2007 , 2007
"... Abstract—In this paper we present a collection of C and C++ biometric performance benchmark algorithms called FacePerf. The benchmark includes three different face recognition algorithms that are historically important to the face recognition community: Haar-based face detection, Principal Component ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
Abstract—In this paper we present a collection of C and C++ biometric performance benchmark algorithms called FacePerf. The benchmark includes three different face recognition algorithms that are historically important to the face recognition community: Haar-based face detection, Principal

Designing Affine Transformations based Face Recognition Algorithms

by Pranab K. Mohanty, Sudeep Sarkar, Rangachar Kasturi
"... We investigate methods to infer the best affine transformation based face recognition algorithm; which operates by projecting given images to a low-dimensional ..."
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We investigate methods to infer the best affine transformation based face recognition algorithm; which operates by projecting given images to a low-dimensional

The FERET Verification Testing Protocol for Face Recognition Algorithms

by Syed A. Rizvi, P. Jonathon Phillips, Hyeonjoon Moon , 1999
"... Two critical performance characterizations of biometric algorithms, including face recognition, are identification and verification. In face recognition, FERET is the de facto standard evaluation methodology.Identification performance of face recognition algorithms on the FERET tests has been previo ..."
Abstract - Cited by 56 (2 self) - Add to MetaCart
Two critical performance characterizations of biometric algorithms, including face recognition, are identification and verification. In face recognition, FERET is the de facto standard evaluation methodology.Identification performance of face recognition algorithms on the FERET tests has been

A face recognition algorithm based on multiple individual discriminative models

by Jens Fagertun, David Delgado Gomez, Bjarne K. Ersbøll, Rasmus Larsen - DIKU, University of Copenhagen , 2005
"... A face recognition algorithm based on multiple individual discriminative models ..."
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A face recognition algorithm based on multiple individual discriminative models

Blurred Face Recognition Algorithm Guided by a No-Reference Blur Metric

by Patricia Ladret, Ngoc-son Vu, Hal Id Hal, Patricia Ladreta, Ngoc-son Vua , 2010
"... Blurred face recognition algorithm guided by a no-reference blur metric ..."
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Blurred face recognition algorithm guided by a no-reference blur metric
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