David G. Lowe
| David G. Lowe | |
|---|---|
| Residence | Seattle, WA |
| Citizenship | Canada |
| Fields |
Computer Science Computer Vision Artificial Intelligence Robotics |
| Institutions |
Google New York University University of British Columbia |
| Alma mater |
University of British Columbia Stanford University (1985, PhD) |
| 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. 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
- ↑ Lowe, D.G. (2004), "Distinctive Image Features from Scale-Invariant Keypoints" (PDF), International Journal of Computer Vision 60 (2): 91–110, doi:10.1023/B:VISI.0000029664.99615.94
- ↑ 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
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