| Course label : | Image modelling and processing |
|---|---|
| Teaching departement : | MIN / Applied Mathematics and General Computing |
| Teaching manager : | Mister AUGUSTIN MOUZE / Mister PIERRE-ANTOINE THOUVENIN |
| Education language : | |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | SMD_SDI_MTI - Modélis traitement image |
Education team
Teachers : Mister AUGUSTIN MOUZE / Mister PIERRE-ANTOINE THOUVENIN
External contributors (business, research, secondary education): various temporary teachers
Summary
Analyze and reproduce the results reported in a state of the art scientific image processing article. This short project offers the opportunity to practice a complete analysis of a scientific article under stringent time constraints. Keywords: scientific article analysis, bibliographical methodology, programming.
Educational goals
By the end of the course, the students will be able to: - understand and engage in the scientific approach described in a scientific image processing article under stringent time constraints; - reproduce the main results reported in the article through a functional proof of concept algorithm; - synthesize the results in a clear and concise manner through a report and short oral defense; - organize the work within a small research team.
Sustainable development goals
Knowledge control procedures
Continuous Assessment
Comments: Evaluation is conducted based on a report written by each group (between 10 and 15 pages including references), on the quality of the codes produced for the numerical illustration (documentation, comments, use of standard programming conventions) and an oral defense (10 min + 5 min of questions).
Online resources
Research articles from the image processing/machine learning literature, with specific applications to image processing.
Pedagogy
Course organized as a short project, in groups composed of maximum 4 students. The work consists in producing a short report synthesizing the content of a research article, with codes reproducing all or part of the associated numerical illustrations. The outcome of the project will be introduced to the whole class during a final oral defence. Most of the work (if not all) will be carried out during the in-class sessions.
Sequencing / learning methods
| Number of hours - Lectures : | 12 |
|---|---|
| Number of hours - Tutorial : | 8 |
| Number of hours - Practical work : | 0 |
| Number of hours - Seminar : | 0 |
| Number of hours - Half-group seminar : | 0 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |
Prerequisites
Courses from the G3-SDIA study track. A sufficient English level is expected to read a scientific journal article (B2 level in the CEFR minimum).
Maximum number of registrants
Remarks
- Introduction: elements of methodology and topical questions in image processing (2h) - 8 project sessions (work in group with systematic check on work progression) (8 x 2h) - Project defence in front of the whole group (2h)