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Published on: 4/15/2006
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Queen Mary Vision Laboratory seminar ------------------------------------ Speaker: Dr Antonio Robles-Kelly of the Department of Computer Science, The University of York Date: 8th December 2003 Title: Graph-spectal Methods for Computer Vision Abstract: Although well established in several areas of mathematics, the application of graph-spectral techniques in computer vision and pattern recognition is a recent development.
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Bio: ANTONIO A. ROBLES-KELLY received his B.Eng. degree in Electronics and Communications from the Inst.
Tecnologico y de Estudios Superiores de Monterrey with honours in 1998.
In 2001, he visited the University of South Florida as part of the William Gibbs/Plessey Award to the best research proposal to visit an overseas research lab.
The award was considered in consultation with GEC- Marconi Underwater Systems Ltd.
He received his PhD in Computer Science from the University of York in 2003.
Currently, he is a Research Associate under the MathFit-EPSRC framework at York.
His research interests are in the areas of computer vision, pattern recognition and computer graphics.
Along these lines, he has done work on segmentation and grouping, graph-matching, shape- from-X and reflectance models.
He is also interested in the differential structure of surfaces.
His research has found applications in areas such as database organisation, 3D surface recovery and reflectance model approximation.
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