Biography:David G. Lowe
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Short description: Canadian computer scientist
David G. Lowe | |
---|---|
Citizenship | Canada |
Alma mater | University of British Columbia Stanford University (1985, PhD) |
Known for | SIFT |
Scientific career | |
Fields | Computer Science Computer Vision Artificial Intelligence Robotics |
Institutions | Google New York University University of British Columbia |
Thesis | Perceptual Organization and Visual Recognition (1985) |
Doctoral advisor | Thomas Binford |
Doctoral students | Ken Perlin |
Website | www |
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
- ↑ 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
- ↑ 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
- ↑ 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
Original source: https://en.wikipedia.org/wiki/David G. Lowe.
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