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Optics / SURF / Interest point detection / Feature / Scale-invariant feature transform / Facial recognition system / Histogram of oriented gradients / Computer vision / Vision / Imaging


1 DREUW ET AL.: SURF-FACE RECOGNITION SURF-Face: Face Recognition Under Viewpoint Consistency Constraints
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Document Date: 2010-06-18 11:50:50


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City

DREUW ET / Sassari / Portrush / New York / Grid / Honolulu / Marseille / /

Company

OSEO / /

Country

Germany / Switzerland / Italy / Northern Ireland / France / United States / Spain / /

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Facility

Pattern Recognition RWTH Aachen University / Computer Vision Center / University of Karlsruhe / University of Bristol / University of Barcelona / /

IndustryTerm

post-processing step / descriptor-based face recognition systems / generic face recognition algorithms / simultaneous processing / experiment protocol / block-based matching accounting / /

NaturalFeature

Herbert Bay / /

Organization

University of Karlsruhe / Computer Vision Center / Pattern Recognition RWTH Aachen University Aachen / University of Bristol / University of Barcelona / French State / /

Person

Luc Van Gool / Andrea Lagorio / Robert Benavente / Mauricio Villegas / Andreas Ess / David G. Lowe / Yong Ma / Aleix Martinez / Mika Fischer / Enrico Grosso / Manuele Bicego / Hermann Ney / Hazim Ekenel / Christopher Evans / Rodrigo Verschae / Javier Ruiz del Solar / Bao-Liang Lu / Erina Takikawa / Thomas Deselaers / Massimo Tistarelli / Mauricio Correa / Shihong Lao / Masato Kawade / Jun Luo / Pascal Steingrube / Harald Hanselmann / Ralph Gross / /

ProvinceOrState

Hawaii / New York / /

PublishedMedium

the RANSAC post / Communications of the ACM / /

Technology

Recognition Under Viewpoint Consistency Constraints Philippe Dreuw dreuw@cs.rwth-aachen.de Pascal Steingrube steingrube@cs.rwth-aachen.de Human Language Technology / training experiment protocol / generic face recognition algorithms / Image Processing / Machine Vision / /

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http /

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