David G. Lowe is a Professor at the University of British Columbia and a Senior Research Scientist at Google Brain. He is renowned for his work in computer vision, mainly developing the SIFT algorithm. His research interests include machine learning, robotics, and image processing.

Lowe's work on computer vision incorporates themes from robotics and mobile robots. His pattern recognition research is multidisciplinary, incorporating range and object model elements. He also conducts interdisciplinary research on 3D single-object recognition and Haar-like features.

Lowe combines subjects such as real images, visual search, search engine indexing, and feature vectors with his study of cognitive neuroscience of visual object recognition. He focuses on artificial intelligence, computer vision, pattern recognition, and cognitive neuroscience of visual object recognition and features.

Lowe frequently deals with the Scale space in his research, concentrating on the Hough transform and RANSAC. Overall, his work involves a broad range of topics and interdisciplinary approaches, making significant contributions to the field of computer vision and related areas.