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Personal profile

Research Interests

Automatics acquisition of models of: architecture, industrial parts and people, using 3D data. Range data acquisition and interpretation. Cognitive vision, including visual attention, shape model acquisition and feature extracted from log-polar images. 3D scene understanding. Computational vision.


BS, Mathematics, California Institute of Technology, 1974
MS, Computer Science, Stanford University, 1978
PhD Computer Science, University of Edinburgh, 1987


Prof. Robert B. Fisher received a B.S. with Honors (Mathematics) from  California Institute of Technology (1974) and a M.S. (Computer Science) from Stanford University (1978). He received his PhD from University of Edinburgh (1987), investigating computer vision. Since then, Bob has been an academic at Edinburgh University, now in the School of Informatics, where helped found the Institute of Perception, Action and Behaviour. His research covers topics in high level and 3D computer vision, focussing on reconstructing geometric models from existing examples (of industrial parts, buildings and people - the latter work has contributed to a spin-off company, Dimensional Imaging, in conjunction with Glasgow University). More recently, he has also been researching video sequence understanding, in particular attempting to understand observed behaviour. He also has a passion for on-line teaching and research resources for the computer vision community, leading to several well-used text and interactive exploration resources. He has published or editted 9 books and about 260 peer-reviewed scientific articles, including 43 journal papers. He has been the principal investigator on about 5 million pounds of research funding, primarily from EPSRC and the EC. Most recently, he has become joint PI on a Wellcome Foundation grant  (350K pounds) to investigate 3D aspects of skin cancer, a co-investigator on a bat acoustic robotics project, which is using a novel 500 fps range sensor (340K pounds) and the coordinator of a project acquiring and analysing video data of fish over about 20 camera-years. Currently, he is also the Dean of Research in the College of Science and Engineering. He is a Fellow of the Int. Association for Pattern Recognition (2008) and the British Machine Vision Association (2010).

My research in a nutshell

A short overview some of my research, including a 1 min Bat Video (webm) (mp4) (m4v).


  • QA75 Electronic computers. Computer science
  • computer vision


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