David G. Lowe

From Wikipedia, the free encyclopedia
David G. Lowe
Alma materUniversity of British Columbia
Stanford University (1985, PhD)
Known forSIFT
Scientific career
FieldsComputer Science
Computer Vision
Artificial Intelligence
New York University
University of British Columbia
ThesisPerceptual Organization and Visual Recognition (1985)
Doctoral advisorThomas Binford
Doctoral studentsKen Perlin

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.


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[edit]


  1. ^ Lowe, D.G. (2004), "Distinctive Image Features from Scale-Invariant Keypoints" (PDF), International Journal of Computer Vision, 60 (2): 91–110, CiteSeerX, doi:10.1023/B:VISI.0000029664.99615.94
  2. ^ Mikolajczyk, K; Schmid, C (2005), "A Performance Evaluation of Local Descriptors", IEEE Transactions on Pattern Analysis and Machine Intelligence, 27 (10): 1615–1630, CiteSeerX, 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]