Thomas Oriel Binford has been a researcher in image analysis and computer vision since 1967.
He developed a model-based approach to computer vision in which complex objects are represented as collections of generalized cylinders.
[1] His results are reflected in work in other areas of research, including the interpretation of complex scenes using invariants and quasi-invariants, inference rules and evidential reasoning in extended Bayes networks of symbolic geometric constraints, the SUCCESSOR system, a portable, intelligent vision system, stereo and visual robot navigation, segmentation and feature estimation in complex images, color image analysis, surface material analysis, and image compression.
[3] While at Stanford, Professor Binford supervised more than 40 PhD theses while leading research in computer vision, artificial intelligence, medical image processing, radar image understanding, robotics, industrial inspection, and manufacturing; notable students of Binford's include Rodney Brooks and Jitendra Malik.
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