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Bob Woodham is a Professor Emeritus at the University of British Columbia (UBC), with a distinguished academic career focused on machine vision and intelligent systems. His education includes a BA from the University of Western Ontario, a Master’s and an Electrical Engineering degree from the Massachusetts Institute of Technology (MIT), and a PhD from MIT. Woodham’s research has significantly contributed to the field of computer vision by formulating and exploiting radiometric constraints. He developed photometric stereo methods to achieve dense surface representations, applicable in various tasks, including robot vision and object recognition. His current research revolves around motion interpretation, extending photometric stereo techniques to include multiple light sources, which enhances the ability to analyze dynamic environments and deformable objects. He aims to improve automatic image analysis systems, particularly in challenging terrain and imaging conditions. Woodham has received multiple accolades, including the Faculty of Science Achievement Award for Service.
University of British Columbia • Vancouver, BC, Canada
Teaching and researching in the Department of Computer Science, focusing on machine vision and intelligent systems.
University of British Columbia • Vancouver, BC, Canada
Conducting advanced research and teaching in computer science.
University of British Columbia • Vancouver, BC, Canada
Involved in teaching undergraduate and graduate courses while conducting research.
Massachusetts Institute of Technology • Cambridge, MA, USA
Performed research in the field of computer vision.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.