Nicolas Boutry
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Nicolas Boutry
Contact and Short bio
- Email: nicolas.boutry-at-lrde.epita.fr
- Subject: Morphological tree of shapes in tridimensional image processing : topological and algorithmic issues
- Ecole doctorale MSTIC : Université Paris-Est, LIGM, labo A3SI, ESIEE
- Advisors : Thierry Géraud (LRDE), Laurent Najman (MSTIC)
- Comment:
Graduated from ESIEE Paris in 2002 in the field of Signal Processing and Telecommunications, Nicolas Boutry has spent over four years in Switzerland at EPFL where he did research on MRI images of human brains and on image compression based on image decomposition. He then joined a company to work on pattern recognition. He started working with us as a PhD-student in the year 2014 on the Olena project.
Teaching:
- Algorithmique (TD / TP for 3rd-year students at EPITA)
Tel : 06 76 80 10 53
Publications
Nicolas Boutry, Thierry Geraud, Laurent Najman, How to Make nD Functions Digitally Well-Composed in a Self-Dual Way, ISMM 2015 PDF (dedicated page: [Publications/boutry.15.ismm])