David G. Lowe

Results: 15



#Item
1

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.cs.jhu.edu

- Date: 2003-12-03 22:01:14
    2Search algorithms / Information science / Computing / Computer programming / Machine learning / Data mining / Approximation algorithms / Discrete geometry / Nearest neighbor search / K-d tree / K-nearest neighbors algorithm / K-means clustering

    FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION Marius Muja, David G. Lowe Computer Science Department, University of British Columbia, Vancouver, B.C., Canada ,

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    Source URL: www.geog.ucsb.edu

    Language: English - Date: 2013-05-14 18:54:15
    3

    Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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    Source URL: rogerioferis.com

    Language: English - Date: 2014-01-20 21:20:17
      4Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

      Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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      Source URL: www.lira.dist.unige.it

      Language: English - Date: 2011-10-07 12:42:52
      5Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

      Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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      Source URL: www.cs.berkeley.edu

      Language: English - Date: 2004-02-20 21:10:40
      6Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

      Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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      Source URL: www.eecs.berkeley.edu

      Language: English - Date: 2006-02-01 17:05:02
      7Object recognition / 3D single object recognition / Scale-invariant feature transform / Pose / SURF / Pattern recognition / Hough transform / Bag of words model in computer vision / Computer vision / Vision / Imaging

      Local Feature View Clustering for 3D Object Recognition David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., V6T 1Z4, Canada [removed]

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      Source URL: www.cs.ubc.ca

      Language: English - Date: 2001-09-16 01:33:24
      8Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

      Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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      Source URL: www.cs.ubc.ca

      Language: English - Date: 2012-01-23 21:31:46
      9Imaging / Optics / Object recognition / Blob detection / Scale space / Scale-invariant feature transform / David G. Lowe / Pennsylvania State University / Feature / Computer vision / Image processing / Vision

      Robert Collins CSE486, Penn State

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      Source URL: www.cse.psu.edu

      Language: English - Date: 2007-12-18 18:56:39
      10Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

      Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe

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      Source URL: www.cs.jhu.edu

      Language: English - Date: 2009-01-28 19:23:15
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