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Lab in signal and image processing

EE-490(f)

Lecturer(s) :

Thiran Jean-Philippe

Language:

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