David G. 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.
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 |
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" (PDF), International Journal of Computer Vision, 60 (2): 91–110, CiteSeerX 10.1.1.73.2924, doi:10.1023/B:VISI.0000029664.99615.94, S2CID 221242327
- Mikolajczyk, K; Schmid, C (2005), "A Performance Evaluation of Local Descriptors", IEEE Transactions on Pattern Analysis and Machine Intelligence, 27 (10): 1615–1630, CiteSeerX 10.1.1.230.255, 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
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