Yiannis "John" Aloimonos is a professor of computer science and director of the Computer Vision Laboratory.
He has written more than 200 research publications on computer vision, especially on Active Vision. Aloimonos has contributed to the theory of computational vision in various ways, including the discovery of the trilinear constraints (with M. Spetsakis) and the mathematics of stability in motion analysis as a function of the field of view (with Cornelia Fermüller), which contributed to the development of omni directional sensors. He serves on the editorial boards of several journals (such as IEEE PAMI, CVIU, the Visual Computer, Pattern Recognition); has chaired several international and national conferences (CVPR, ICPR, 3DPVT); and is the co-author of four books, including one textbook on artificial intelligence.
Aloimonos has received awards for his work, including the Marr Prize Honorable Mention Award 1987, the Presidential Young Investigator Award from President Bush in 1990, and the Bodossaki Prize in AI and Computer Vision in 1994. His research has been supported over the years by NSF, NIH, ONR, DARPA, IBM, Honeywell, Dassault, Westinghouse, Google, Honda and the European Union. For the past five years, he has been working on cognitive systems under the project POETICON, and more recently under the NSF Cyberphysical Systems Program.
He received his doctorate in computer science from the University of Rochester in 1987. Aloimonos started at the University of Maryland in 1986. In 1993, he was a visiting professor at the Royal Institute of Technology, in Stockholm, Sweden, and in 1994, he served as a visiting professor at the Institute FORTH in Crete, Greece.
Active vision: the study of the mechanisms responsible for recovering three-dimensional information from image sequences obtained by an active observer. Application of descriptions of visual space and space-time to analyzing and synthesizing visual data: eye and camera design, video editing and manipulation, graphics and virtualized reality, visualization, sensor networks, robots/navigation and the study of biological vision.
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