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Comparing Face Recognition Technologies
"... Abstract An automated system for human face recognition in a real time background world for a large homemade dataset of persons face. There is overview and different steps of face recognition. Because the face system is totally non-intrusive, thus without bothering the user in any way it can theref ..."
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Abstract An automated system for human face recognition in a real time background world for a large homemade dataset of persons face. There is overview and different steps of face recognition. Because the face system is totally non-intrusive, thus without bothering the user in any way it can
Face Recognition Technology: Security versus Privacy
- IEEE Technology and Society Magazine
, 2004
"... face recognition systems have become the subject of increased interest and controversy after the September 11 terrorist attacks on the United States. In favor of face recognition technology, there is the lure of a powerful tool to aid national security. On the negative side, there are fears of an Or ..."
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Cited by 25 (3 self)
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face recognition systems have become the subject of increased interest and controversy after the September 11 terrorist attacks on the United States. In favor of face recognition technology, there is the lure of a powerful tool to aid national security. On the negative side, there are fears
FERET (Face Recognition Technology) Recognition Algorithm Development and Test Results
, 1996
"... As part of the Face Recognition Technology (FERET) program, the U.S. Army Research Laboratory (ARL) conducted supervised government tests and evaluations of automatic face recognition algorithms. The goal of the tests was to provide an independent method of evaluating algorithms and assessing the st ..."
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Cited by 31 (3 self)
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As part of the Face Recognition Technology (FERET) program, the U.S. Army Research Laboratory (ARL) conducted supervised government tests and evaluations of automatic face recognition algorithms. The goal of the tests was to provide an independent method of evaluating algorithms and assessing
Leveraging face recognition technology to find and organize photos
- In Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
, 2004
"... With digital still cameras, users can easily collect thousands of photos. We have created a photo management application with the goal of making photo organization and browsing simple and quick, even for very large collections. A particular concern is the management of photos depicting people. We pr ..."
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Cited by 23 (0 self)
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present a semi-automatic approach designed to facilitate the task of labeling photos with people that opportunistically takes advantage of the strengths of current state-of-the-art technology in face detection and recognition. In particular, an accurate face detector is used to automatically extract faces
Comparative Research of PCA+AdaBoost and PCA+LDA for Face Recognition Technology
"... Abstract. Despite of the development of face recognition technology; face recognition rate is not high, which brings some inconvenience in our application. This paper carry on a simple introduction of PCA+AdaBoostalgorithm and PCA+LDA algorithm and makes a simple comparison at the end. PCA+AdaBoost ..."
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Abstract. Despite of the development of face recognition technology; face recognition rate is not high, which brings some inconvenience in our application. This paper carry on a simple introduction of PCA+AdaBoostalgorithm and PCA+LDA algorithm and makes a simple comparison at the end. PCA
The FERET evaluation methodology for face recognition algorithms
- 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 ..."
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Cited by 1116 (26 self)
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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
Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments
"... Face recognition has benefitted greatly from the many databases that have been produced to study it. Most of these databases have been created under controlled conditions to facilitate the study of specific parameters on the face recognition problem. These parameters include such variables as posi ..."
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Cited by 449 (11 self)
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as position, pose, lighting, expression, background, camera quality, occlusion, age, and gender. While there are many applications for face recognition technology in which one can control the parameters of image acquisition, there are also many applications in which the practitioner has little or no control
Rapid Face Recognition Technology using Eigenfaces and Gabor Filter
, 2012
"... Face recognition is one of biometric methods, to identify given face image using main features of face. Face recognition system is a computer application for automatically identifying or verifying a person from a digital image. Gabor filters have proven themselves to be a powerful tool for feature e ..."
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Face recognition is one of biometric methods, to identify given face image using main features of face. Face recognition system is a computer application for automatically identifying or verifying a person from a digital image. Gabor filters have proven themselves to be a powerful tool for feature
Human Face Recognition Technology Using the Karhunen-Loéve Expansion Technique
"... We will explore the area of face recognition using the partial singular value decomposition of a matrix and test some of its successes and limitations. We constructed a database consisting of 130 pictures of 65 individuals, and then used the Karhunen-Loéve (KL) Expansion method to relate pictures fr ..."
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Cited by 1 (0 self)
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We will explore the area of face recognition using the partial singular value decomposition of a matrix and test some of its successes and limitations. We constructed a database consisting of 130 pictures of 65 individuals, and then used the Karhunen-Loéve (KL) Expansion method to relate pictures
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