David G. Lowe

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David G. Lowe
Residence Canada
Institutions New York University
University of British Columbia
Alma mater University of British Columbia
Stanford University
Thesis Perceptual Organization and Visual Recognition (1985)
Doctoral advisor Thomas Binford
Doctoral students Ken Perlin
Website
www.cs.ubc.ca/~lowe/

David G. Lowe is a Canadian computer scientist and a professor in the Computer Science Department at the University of British Columbia. Lowe is a researcher in computer vision, and is the author of the patented scale-invariant feature transform (SIFT), one of the most popular algorithms in the detection and description of image features.[1] [2] [3]

References[edit]

  1. ^ Lowe, D.G. (2004), "Distinctive Image Features from Scale-Invariant Keypoints", International Journal of Computer Vision 60 (2): 91–110, doi:10.1023/B:VISI.0000029664.99615.94 
  2. ^ Mikolajczyk, K; Schmid, C (2005), "A Performance Evaluation of Local Descriptors", IEEE International Conference on Pattern Analysis and Machine Intelligence 27 (10): 1615–1630, doi:10.1109/TPAMI.2005.188, PMID 16237996 
  3. ^ Zhu, Qiang; Avidan, Shai; Cheng, Kwang-Ting (2005), "Learning a Sparse, Corner-Based Representation for Time-Varying Background Modelling", The Tenth IEEE International Conference on Computer Vision 

External links[edit]