TheoExtraStuff

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Software Snapshots

• Milena, a modern, efficient, and generic image processing library in C++
  • it is part of the Olena platform
  • the main project page is here
  • I'm ranked by Ohloh (!) here

• eVidenZ, a free and general-purpose C++ library to implement some Dempster-Shafer engines (theory of belief functions):
  • this was a student project (it is no more maintained)
  • the dedicated page is here
  • a modern version of this project is here

Lectures

The courses I give at EPITA:

• The C++ Language (slides: cpp_1.pdf, cpp_2.pdf, cpp_3.pdf, cpp_4.pdf, cpp_5.pdf)
• Object-Oriented Modeling
• Introduction to Image Processing (slides: inim_1.pdf, inim_2.pdf, inim_3.pdf, inim_4.pdf, inim_5.pdf)
• Markov Random Fields (goto above)

Students

Former PhD students:

• Jérôme Darbon, now with UCLA and CNRS (at ENS Cachan)
• Roland Levillain, now with Google (London, UK)
• Yongchao Xu, now both with EPITA-LRDE and the Signal and Image Processing Dept. of Telecom ParisTech

Current PhD students:

• Edwin Carlinet (co-director Jean Serra)
• Nicolas Boutry (co-director Laurent Najman)

Internship Proposals

The proposal below are for MSc students (M2); if you are interested (and to get extra info), just contact me thierry.geraud@lrde.epita.fr.

Text extraction from natural images

Keywords

• image processing,
• mathematical morphology,
• tree-based reasoning,
• algorithmic optimization.

Flavor

theory	10%
bibliography	10%
exploration	30%
algorithm design	30%
implementation and tests	20%

Exploration of new self-dual filters in mathematical morphology

Keywords

• image processing,
• mathematical morphology (connected operators),
• tree of shapes,
• shaping (see the paper: Y. Xu et al., Morphological filtering in shape spaces, in the Proc. of ICPR, 2012).

Flavor

theory	20%
bibliography	10%
exploration	30%
proof design	30%
implementation and tests	10%

Document image simplification

Keywords

• image processing,
• mathematical morphology,
• tree-based reasoning,
• algorithmic optimization.

Keywords:

• image processing,
• mathematical morphology,
• document image analysis.

Flavor

theory	10%
bibliography	20%
exploration	40%
implementation and tests	30%