Difference between revisions of "TheoExtraStuff"
From LRDE
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** this was a student project (it is no more maintained) |
** this was a student project (it is no more maintained) |
||
** the dedicated page is <span style="background:yellow">[[TheoEvidenz|here]]</span> |
** the dedicated page is <span style="background:yellow">[[TheoEvidenz|here]]</span> |
||
− | ** a modern version of this project is |
+ | ** a modern version of this project is [https://github.com/IGNF/evidence4j here] |
== Lectures == |
== Lectures == |
Revision as of 18:19, 4 March 2015
Software Snapshots
- Milena, a modern, efficient, and generic image processing library in C++
- eVidenZ, a free and general-purpose C++ library to implement some Dempster-Shafer engines (theory of belief functions):
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% |