Difference between revisions of "TheoExtraStuff"
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== Lectures == |
== Lectures == |
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* Introduction to Image Processing |
* Introduction to Image Processing |
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* Markov Random Fields |
* Markov Random Fields |
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* [[User:Nboutry|Nicolas Boutry]] (co-director [http://www.laurentnajman.org/ Laurent Najman]) |
* [[User:Nboutry|Nicolas Boutry]] (co-director [http://www.laurentnajman.org/ Laurent Najman]) |
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== Internship Proposals == |
== Internship Proposals == |
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Revision as of 11:47, 8 October 2014
Software Snapshots
a modern, efficient, and generic image processing library in C++, Milena, part of the Olena platform:
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
- Markov Random Fields
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% |