Research topics
Research fields
![](/_media/research:topics:vignette_nloops.png)
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
![](/_media/research:topics:tactile-map.jpg?w=175&tok=c06742)
Keywords: generalization, graph simplification, GIS, data rendering
Abstract: tactile maps for blind people are usually handmade, in order to address specific needs. In this work, I'm interested in automatic generation of these maps, using the OpenStreetMap database.
![](/_media/research:topics:semantic.png)
Keywords: semantic, expert knowledge, labelling, segmentation.
Abstract: using semantic to drive data manipulation is an efficient way to integrate expert knowledge into the process. Ontologies are a useful and efficient way to describe semantic.
![](/_media/research:topics:vignette_organic.png)
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.
![](/_media/research:topics:spie_vignette.png)
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.
![](/_media/research:topics:computer-vision.png?w=175&tok=168efb)
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.
![](/_media/research:topics:textures-procedurales.png?w=175&tok=803dc6)
Keywords: multifractal textures, texture generation, mesh processing.
Abstract: procedural textures permit to generate from a few number of parameter an infinite set of textures.