Yr Athro Paul Rosin
Professor of Computer Vision
For over 30 years I have been active in computer vision research. A guiding principle is that my work should provide effective and robust methods which are thoroughly evaluated. This has led to my work (e.g. my methods for unimodal thresholing, polygonal segmentation, convexity estimation, etc.) being widely used across many disciplines and applications beyond just the computer vision community. In addition to developing fundamental computer vision methods, I have also been involved in many multi-disciplinary collaborations in areas such as psychology, dentistry, optometry, sociology, security, and cultural heritage. For more details see my personal web page.
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My research interests are based in computer vision, with current particular interests in non-photorealistic rendering, 2D and 3D facial models, shape analysis and mesh processing. I also am (or have been) interested in a range of topics in the field such as cellular automata, approximating and representing curves, methods for performance evaluation and low level image processing. I am also active in processing biological, geophysical, remote sensing, and art/architectural data.