Facial recognition system

Known as: Image Matching techniques, Fisherface, Facial recognition software 
A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video… (More)
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Topic mentions per year

Topic mentions per year

1974-2017
05001000150019742017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
The capacity to recognize faces under varied poses is a fundamental human ability that presents a unique challenge for computer… (More)
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Highly Cited
2007
Highly Cited
2007
Making recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for practical… (More)
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Highly Cited
2006
Highly Cited
2006
We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1) represent surfaces by unions of… (More)
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Highly Cited
2005
Highly Cited
2005
We propose an appearance-based face recognition method called the Laplacianface approach. By using locality preserving… (More)
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Highly Cited
2004
Highly Cited
2004
In this work, we present a novel approach to face recognition which considers both shape and texture information to represent… (More)
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Highly Cited
2002
Highly Cited
2002
This paper introduces a novel Gabor-Fisher (1936) classifier (GFC) for face recognition. The GFC method, which is robust to… (More)
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Highly Cited
2001
Highly Cited
2001
We present a generative appearance-based method for recognizing human faces under variation in lighting and viewpoint. Our method… (More)
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Highly Cited
1998
Highly Cited
1998
We present new techniques for creating photorealistic textured 3D facial models from photographs of a human subject, and for… (More)
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Highly Cited
1997
Highly Cited
1997
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial… (More)
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Highly Cited
1997
Highly Cited
1997
We present a hybrid neural-network for human face recognition which compares favourably with other methods. The system combines… (More)
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