Face recognition

Results: 866



#Item
531Object recognition / Histogram of oriented gradients / Face detection / Visual search / Shot transition detection / Image retrieval / Information retrieval / Segmentation / Bag of words model in computer vision / Computer vision / Image processing / Image search

Oxford TRECVid 2007 – Notebook paper James Philbin, Ondˇrej Chum, Josef Sivic, Vittorio Ferrari, Manuel Marin, Anna Bosch, Nicholas Apostolof and Andrew Zisserman Department of Engineering Science University of Oxford

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-11-28 11:16:54
532Vision / Statistics / Shot transition detection / Segmentation / Color histogram / Feature / Histogram / Face detection / Classifier / Computer vision / Image processing / Imaging

Boundary and Feature Recognition at The University of Iowa David Eichmann,1,2 and Dong-Jun Park,2 1School of Library and Information Science

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2005-03-01 14:29:09
533Face Recognition Grand Challenge / Multiple Biometric Grand Challenge / Face detection / Facial recognition system / FERET / Gesture recognition / Computer vision / Face recognition / Biometrics

The Challenge of Face Recognition from Digital Point-and-Shoot Cameras J. Ross Beveridge∗ Geof H. Givens§ W. Todd Scruggs¶ P. Jonathon Phillips†

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Source URL: biometrics.nist.gov

Language: English - Date: 2013-06-07 06:23:04
534Emotion / Limbic system / Face / Prosody / Linguistics / Human anatomy / Concepts

LNCS[removed]Word-Level Emotion Recognition Using High-Level Features

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2014-06-05 18:27:07
535Identification / Surveillance / Fingerprint / Human anatomy / Public key fingerprint / US-VISIT / Facial recognition system / Fingerprint Verification Competition / Fingerprint recognition / Biometrics / Fingerprints / Security

Summary of NIST Patriot Act Recommendations 1. One-to-One Matching (Verification) -- NIST recommends one face and two index fingerprints for verification. All three biometrics should be in image form. The face image shou

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Source URL: biometrics.nist.gov

Language: English - Date: 2004-09-14 11:47:36
536Computer vision / Statistical classification / Ensemble learning / Face recognition / Support vector machine / Object recognition / Face detection / Random forest / Boosting methods for object categorization / Artificial intelligence / Machine learning / Vision

Oxford-IIIT TRECVID 2009 – Notebook Paper Sreekanth Vempati, Mihir Jain, Omkar M. Parkhi, C. V. Jawahar Center for Visual Information Technology, International Institute of Information Technology, Gachibowli, Hyderabad

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2009-12-07 10:16:56
537Surveillance / National security / Face recognition / Identification / Fingerprint / Integrated Automated Fingerprint Identification System / Iris recognition / Facial recognition system / Authentication / Biometrics / Security / Fingerprints

STATUS REPORT ON THE EFFORTS TO DEVELOP AND CERTIFY ACCURACY STANDARDS FOR BIOMETRIC TECHNOLOGIES

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Source URL: biometrics.nist.gov

Language: English - Date: 2003-02-06 07:40:27
538Identification / Face recognition / Privacy / Fingerprints / Fingerprint / Data fusion / Facial recognition system / FERET / Fingerprint Verification Competition / Biometrics / Security / Surveillance

Multimodal Biometrics: Issues in Design and Testing LONG PAPER PAPER ID = 9 ABSTRACT Experimental studies show that multimodal biometric systems for small-scale populations perform better performance than singlemode biom

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Source URL: w3.antd.nist.gov

Language: English - Date: 2009-02-03 16:25:14
539Optics / Image processing / Histogram of oriented gradients / Object recognition / Face detection / Feature / Support vector machine / Scale-invariant feature transform / Geometric feature learning / Computer vision / Vision / Imaging

Microsoft Word - 20091022_notebook.docx

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2009-12-07 10:16:54
540Face recognition / Human rights / Privacy / Internet privacy / Facial recognition system / Facebook / Online shopping / Ethics / Computing / World Wide Web

www.consumer-action.org PO Box[removed]Washington, DC[removed][removed]Main St, Suite 480

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Source URL: www.consumer-action.org

Language: English - Date: 2012-02-28 11:26:42
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