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Coursebooks 2017-2018
Lab in signal and image processing
EE-490(f)
Lecturer(s) :
Thiran Jean-PhilippeLanguage:
English
Withdrawal
It is not allowed to withdraw from this subject after the registration deadline.Summary
These lab sessions are designed as a practical companion to the course "Image Analysis and Pattern Recognition" by Prof. Thiran. The main objective is to learn how to use some important image processing libraries, namely OpenCV, for performing image analysis tasks.Content
The lab will contain two main parts:
- Feature extraction
- Object detection
- Object tracking
For each of them, a series of exercises will be proposed, to be solved by groups of 2 students. Each assignment will have to be completed in 3 to 4 weeks.
Keywords
image processing, computer vision, OpenCV
Learning Prerequisites
Required courses
Signal Processing
Recommended courses
Pattern Recognition and Image Analysis
Learning Outcomes
By the end of the course, the student must be able to:- Design image analysis systems
- Implement it with state-of-the-art libraries
Teaching methods
assignments (mini-projects)
Assessment methods
Report of each assignment
In the programs
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Lab in signal and image processing - Practical work
4 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formDuring the semester
- Credits
4 - Subject examined
Lab in signal and image processing - Practical work
4 Hour(s) per week x 14 weeks
- Semester
Reference week
Mo | Tu | We | Th | Fr | |
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8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Lecture
Exercise, TP
Project, other
legend
- Autumn semester
- Winter sessions
- Spring semester
- Summer sessions
- Lecture in French
- Lecture in English
- Lecture in German