Biography:David G. Lowe

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Short description: Canadian computer scientist
David G. Lowe
CitizenshipCanada
Alma materUniversity of British Columbia
Stanford University (1985, PhD)
Known forSIFT
Scientific career
FieldsComputer Science
Computer Vision
Artificial Intelligence
Robotics
InstitutionsGoogle
New York University
University of British Columbia
ThesisPerceptual Organization and Visual Recognition (1985)
Doctoral advisorThomas Binford
Doctoral studentsKen Perlin
Websitewww.cs.ubc.ca/~lowe/

David G. Lowe is a Canadian computer scientist working for Google as a senior research scientist. He was a former professor in the computer science department at the University of British Columbia and New York University.

Works

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]

Awards and honors

  • 2015. Lowe received the biennial PAMI Distinguished Researcher Award.

References

  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, http://www.robots.ox.ac.uk/~vgg/research/affine/det_eval_files/lowe_ijcv2004.pdf 
  2. Mikolajczyk, K; Schmid, C (2005), "A Performance Evaluation of Local Descriptors", IEEE Transactions 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