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个人简介
Jan Paul Siebert received the B.Sc. and Ph.D. degrees from the Department of Electronics and Electrical Engineering, University of Glasgow, in 1979 and 1985, respectively. He is currently a Reader (Associate Professor) with the School of Computing Science, University of Glasgow and leads the Computer Vision for Autonomous Systems (CVAS) Research Group. Computer vision research for over 30 years, specializing in 2-D/3-D computer vision, biologically motivated vision and active binocular imaging systems and their application, primarily in clinical surface anatomy assessment and robot vision. Develop 3-D imagers and computer vision in the late 1980’s at BBN Laboratories, Edinburgh, U.K., and then at the Turing Institute, Glasgow, U.K., for 3-D surface anatomy assessment and construction of virtual actors: http://www.di4d.com/.
Since 1994, he has been the CEO of the Turing Institute. In 1997, he became the Director of the 3D-MATIC Faraday Partnership from which the CVAS Research Group was established at Glasgow.
Current research on 2-D and 3-D computer vision methods for cognitive robot vision systems, egocentric perception and intelligent visual sensing, combining biologically motivated computer vision with deep learning approaches.
He has supervised 19 Ph.D. students to completion and co-authored over 120 publications and a recent book An Introduction to 3D Computer Vision Techniques and Algorithms and has held 11 major grants in 3-D computer vision and was co-investigator on a further 13 large scale projects.
His recent projects include the EU funded CLOPEMA investigating robotic clothing perception and manipulation, Innovate UK/EPSRC funded iSee exploring vision for grasping and manipulation in collaboration with the Shadow Robot Company and a Software Retina/Deep-CNN model.
研究兴趣
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Machine Vision and Applicationsno. 4 (2024): 1-23
Mechanisms and machine sciencepp.233-245, (2023)
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CoRR (2023): 703-706
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Mechanisms and machine sciencepp.175-191, (2023)
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ROBIOpp.1109-1114, (2022)
IEEE International Conference on Robotics and Biomimetics (ROBIO)pp.1712-1717, (2021)
user-6144298de55422cecdaf68a5(2021)
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