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Vision / Scale-invariant feature transform / Object recognition / Principal component analysis / SURF / Feature extraction / Dimension reduction / Eigenvalues and eigenvectors / Non-negative matrix factorization / Computer vision / Algebra / Statistics


Document Date: 2004-04-09 14:05:03

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Company

SIFT / Neural Networks / Intel / integrating SIFT / /

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Event

Product Recall / Product Issues / /

Facility

Carnegie Mellon University / Intel Research Pittsburgh http /

IndustryTerm

real-world applications / keypoint algorithms / scale-space search / interest point algorithms / object recognition algorithms / pre-processing / /

Organization

School of Computer Science / Carnegie Mellon University / Pattern Analysis and Machine Intelligence / /

Person

Yan Ke / Test-Train Same (Proj) / Phil Gibbons / David Lowe / M. Satyanarayanan / Larry Huston / Test-Train Diff / Turk / T. Moons / L. Van Gool / D. Ungureanu / /

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Product

0.4 1 1 0.8 0.8 0.6 0.6 / Recall / Recall 1.00E-01 / SIFT Correct retrieval / PCA / 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 / /

Technology

3-D / same matching algorithms / object recognition algorithms / interest point algorithms / descriptors Our algorithm / two algorithms / /

URL

http /

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