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Optics / Scale-invariant feature transform / Object recognition / SURF / Corner detection / Feature / Visual descriptors / Caltech 101 / Computer vision / Vision / Imaging


matching_noise.eps
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Document Date: 2011-09-22 14:46:51

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City

Orlando / Munich / Nara / Los Alamitos / P. Perona / Edinburgh / /

Company

GPU / Intel / Microsoft / /

Country

Japan / United States / United Kingdom / Scotland / /

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Facility

SURF Ethan Rublee Vincent Rabaud Kurt Konolige Gary Bradski Willow Garage / OpenCV port / /

IndustryTerm

real-world applications / Greedy search / image-matching applications / high-dimensional similarity search / Similarity search / computing / nearest-neighbor applications / low-power devices / exhaustive search / real-time systems / learning algorithm / intensive search / nearest neighbor search / /

MarketIndex

set 500 / /

OperatingSystem

BSD / Android / /

Organization

VLDB Endowment / IEEE Computer Society / Pattern Analysis and Machine Intelligence / /

Person

M. Calonder / V / Proc / L. Van Gool / T. Tuytelaars / Morgan Kaufmann / Ethan Rublee Vincent Rabaud Kurt / /

Position

R. Porter / and T. Drummond / /

ProgrammingLanguage

Pascal / /

ProvinceOrState

Manitoba / /

RadioStation

2.12 When / /

Technology

learning algorithm / RAM / smart phone / 1GHz ARM chip / Virtual Reality / mobile phones / Machine learning / Android / SIFT algorithm / 2.8 GHz processor / /

URL

http /

SocialTag