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May 4th, 2012
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June 17th, 2012
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June 30th, 2012
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July 20th, 2012
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April 19th, 2012
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April 25th, 2012
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May 6th, 2012
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May 27th, 2012
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June 24th, 2012
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August 7th, 2012
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July 31st, 2012
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May 31st, 2012
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July 15th, 2012
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August 7th, 2012
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August 5th, 2012
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June 20th, 2012
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July 8th, 2012
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June 22nd, 2012
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July 8th, 2012
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May 11th, 2012
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June 24th, 2012
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July 3rd, 2012
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July 15th, 2012
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July 16th, 2012
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July 31st, 2012
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Notification of acceptance
July 24th, 2012
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August 2nd, 2012
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June 24th, 2012
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July 18th, 2012
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July 29th, 2012
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July 4th, 2012
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July 26th, 2012
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August 5th, 2012
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Submission deadline
July 15th, 2012
August 1st, 2012
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August 1st, 2012
August 5th, 2012
Camera ready due
August 7th, 2012
August 1st, 2012
Notification of acceptance
August 5th, 2012
Camera ready due
August 7th, 2012
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| Laurent Najman |
Laurent NajmanUniversité Paris-Est, Laboratoire d'Informatique Gaspard-Monge, Equipe A3SI, ESIEE Paris, France Title: Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations Abstract: Connected operators are filtering tools that act by merging elementary regions of an image. A popular strategy is based on tree-based image representations: for example, one can compute a shape-based attribute on each node of the tree and keep only the nodes for which the attribute is sufficiently strong. This operation can be seen as a thresholding of the tree, seen as a graph whose nodes are weighted by the attribute. Rather than being satisfied with a mere thresholding, we propose to expand on this idea, and to apply connected filters on this latest graph. Consequently, the filtering is done not in the space of the image, but on the space of shapes build from the image. Such a processing is a generalization of the existing tree-based connected operators. Indeed, the framework includes classical existing connected operators by attributes. It also allows us to propose a class of novel connected operators from the leveling family, based on shape attributes. Finally, we also propose a novel class of self-dual connected operators that we call morphological shapings. Illustrations of the interest of the proposed approach will be provided on several tree-based image representations, including min-tree, max-tree, tree of shapes and hierarchical segmentations.
Short Bio - Laurent Najman received the Habilitation à Diriger les Recherches in 2006 from the University of Marne-la-Vallée, a Ph.D. of applied mathematics from Paris-Dauphine University in 1994 with the highest honour (Félicitations du Jury) and an “Ingénieur” degree from the Ecole des Mines de Paris in 1991. After earning his engineering degree, he worked in the Central Research Laboratories of Thomson-CSF for three years, working on some problems of infrared image segmentation using mathematical morphology. He then joined a start-up company named Animation Science in 1995, as director of research and development. The technology of particle systems for computer graphics and scientific visualisation, developed by the company under his technical leadership received several awards, including the “European Information Technology Prize 1997” awarded by the European Commission (Esprit programme) and by the European Council for Applied Science and Engineering and the “Hottest Products of the Year 1996” awarded by the Computer Graphics World journal. In 1998, he joined OCÉ Print Logic Technologies, as senior scientist. He worked there on various problem of image analysis dedicated to scanning and printing. In 2002, he joined the Informatics Department of ESIEE, Paris, where he is professor and a member of the Laboratoire d’Informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée. His current research interest is discrete mathematical morphology and discrete optimization.
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