General Information

Objective: Study of the main computer vision methods and their applications.

Syllabus: Image processing, classification, object detection, segmentation, tracking, embedded applications.

Duration: 60 hours (16 weeks).

Time: Asynchronous.

Grade: Assignments (30%), final project (70%).

Lecturer: André Eugenio Lazzaretti.

Preliminary Content

Python Basics:

• General overview: link (Part II - L03 and L04);

  • Similar material in portuguese: link.

Track on Signals, Images, and Patterns: link.

Week 2

Lecture 2 - Machine Learning Basics

• Machine Learning Basics (slides, video1, video2). 

Week 4

Lecture 4 - Image Processing and OpenCV

• Image Processing and OpenCV (link)

Week 6

Lecture 6 - CNNs

• Convolutional Networks (slides, video).

• CNN Architectures (slides, video).

Week 8

Lecture 8 - Second Assignment

• Part 1 - CNN (link).

Week 15

Presentation - Final Project.