INFO-H-501 Pattern recognition and image analysis (image analysis part)

Objectives

After following this course one shouldbe able to understand different kind of machine learning problems.

More specificaly:

• Become familiar ...
• Be able to recognize data/images properties
• Apply basic pattern recognition methods

Course content

• Introduction: image processing recall and some example of machine learning used for vision
• Object shape description
• Vision
• Detectors
• Object/image tracking
• Object recognition
• Introduction to Deep-Neural
• Image segmentation using DNN
• Data augmentation for DNN

Laboratories

In parallel to the lectures, a serie of labs are is organized. The student are invited to reuse lecture material given as Jupyter Python Notebooks during the laboratory.