Research
- Keywords: unfolding, cutting, tilling, topology, geometry, expert knowledge modelization.
- Applicative contexts: medical imaging, computer graphics.
During my PhD thesis thesis in 2006-2009, I focused on questions of cutting and tiling surfaces, integrating topological, geometrical and combinatorial constraints on the tiles. During these years, I designed algorithms using edge-based paths. I explored various applications, from medical imaging to computer graphics.
During my post-doc, I worked with the IMATI members on tiling/segmentation methods on surfaces, mainly using scalar functions and algorithms using piecewise-linear paths. I was also interested on working with semantic descriptors and/or expert knowledge to work on automatic labelling and/or classification.
Since September 2011, I am associate professor at ISIT, I joint the ALCoV team. I am now focusing my work on medical imaging contexts, especially on pre-operative images like MRI, with the aim to extract surfaces from the voxel description, integrating expert knowledge, topological and geometrical constraints.
Students
PhD students:
- Pierre Schroeder (co-supervised by Adrien Bartoli and Mathieu Perriollat), started on October 2010
- Mano Prasanth Nandanavanam (co-supervised by Adrien Bartoli and Yan Gérard), started on October 2011
Publications
See all my publications, or browse the following subpages.
Research fields
Algorithmic geometry
Keywords: mesh, tiling, cutting, topological and geometrical constraints, algorithms.
Abstract: algorithmic geometry and topology provide a large number of abstract objects and algorithms to manipulate manifolds (surfaces, volumic objects), to extract information and/or modify it under several constraints.
Applicative contexts
Medical imaging
Keywords: MRI, segmentation, mesh reconstruction.
Abstract: pre and post-operative images like MRI can be modelized as voxel matrices, and a large number of algorithms from discrete geometry can be applied. Extracting a surface from such a description is also an interesting way to modelize the observed anatomical objects (organs, tissues, etc.) and facilitate the usage of geometrical and topological tools. I mainly worked on this approach, generating surfaces from the voxel description, then modifying the surface by integrating expert knowledge, related with geometry or topology, or extracting information to measure properties.
Computer graphics
Keywords: charts decomposition, parameterization, tiling.
Abstract: Integrating geometrical and topological constraints in computer graphics field is an interesting way to solve several questions, e.g. obtaining a satisfying cutting of a surface in order to perform in an efficient way a conformal parameterization. I am also interested in adapting the theoretical algorithms in order to offer interactive adjustments to the infographist.
Computer vision
Keywords: shape estimation, point clouds.
Abstract: computer vision field is mainly motivated by linear or quasi-linear approaches of image processing, for example for shape estimation from image sequences. But it also need to introduce original point cloud or mesh processing to extract geometric properties.
Procedural textures
Keywords: multifractal textures, texture generation, mesh processing.
Abstract: procedural textures permit to generate from a few number of parameter an infinite set of textures.
