B.Sc., University of British Columbia (1978); Ph.D., Stanford (1984); Assistant Professor, New York University (1984-87); Assistant Professor, University of British Columbia (1987-92); Scholar, Canadian Institute for Advanced Research (1987-95); Associate Professor, University of British Columbia (1992-97); Professor, University of British Columbia (1997 - ); Fellow, Canadian Institute for Advanced Research (2004 - ).
My major areas of research have been in computer vision. As humans, we effortlessly use vision for most of our daily interactions with the world. While computer vision systems are already useful for many tasks, such as recognition of specific objects, augmented reality, and computational photography, there remain important future challenges, such as self-driving cars, that will require far better capabilities. My research is aimed at improving the capabilites of object recognition and large-scale image matching to enable a wide range of new applications.
See my personal web page for more details.
Scott Helmer, David Meger, Marius Muja, James J. Little, David G. Lowe, "Multiple Viewpoint Recognition and Localization," Asian Conference on Computer Vision (ACCV), Queenstown, New Zealand (2010).
Marius Muja and David G. Lowe, "Fast approximate nearest neighbors with automatic algorithm configuration," International Conference on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal (2009).
Matthew Brown and David G. Lowe, "Automatic panoramic image stitching using invariant features," International Journal of Computer Vision, 74, 1 (2007), pp. 59-73.
David G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, 60, 2 (2004).