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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.

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" (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
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 10.1.1.230.255, doi:10.1109/TPAMI.2005.188, PMID 16237996, S2CID 2572455
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

• Home page

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