Visão Computacional

2024/01

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 (18 weeks).

Time: Fridays (15:50 - 18:40) - online and asynchronous here.

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

Lecturer: André Eugenio Lazzaretti.

Bibliography and Support Materials

Book:

Computer Vision: Algorithms and Applications. Richard Szeliski. Available here.

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 1 - 08/03

Lecture 1 - Dates, grades, rules, and introduction

Video (link).

Week 2 - 15/03

Lecture 2 - Machine Learning Basics

Machine Learning Basics (slides, video1, video2).

Week 3 - 22/03

Lecture 3 - Neural Networks

Deep Feedforward Networks and Backpropagation (slides, video1, video2).

Week 4 - 05/04

Lecture 4 - Image Processing and OpenCV

Image Processing and OpenCV (link)

Week 5 - 12/04

Lecture 5 - First Assignment

Part 1 - OpenCV (link).
Part 2 - Machine Learning (link).

Week 6 - 19/04

Lecture 6 - CNNs

Convolutional Networks (slides, video).
CNN Architectures (slides, video).

Week 7 - 26/04

Lecture 7 - Object Detection and Image Segmentation

Object Detection (slides, video).
Segmentation (slides, code1, code2, video).

Week 8 - 03/05

Lecture 8 - Second Assignment

Part 1 - CNN (link).

Week 9 to 14 - 10/05 to 21/06

Final Project:

ALEXIA MARCON WATZLAWICK
ANDRE VAZ IGARASHI
BRENDA BARBRA BROSKA TEODORO
GABRIEL BERKENBROCK DO NASCIMENTO
GIOVANI ZANELATTO
GUSTAVO FONTES LEWIN
ITALO RIBEIRO FABIANI
LETICIA COUTO TASSO
MARIA FRANCISCA MARCON DE AMORIM
NICOLAS CIVIERO
PABLO RODRIGUES SENE
PEDRO HENRIQUE GROS
PEDRO HENRIQUE GROSSI DA SILVA
STEPHANIE AMANDIO CALEGARI
TOBIAS SALAZAR BARBOSA
VICTOR HUGO DAMBRAT BERGOSSI
VICTOR HUGO RODRIGUES MACHADO
VINICIUS COUTO TASSO
VITOR KENZO TANOSHI

Week 15 - 28/06

Presentation - Final Project.

Week 16 - 07/07

Presentation - Final Project

Presentation of missing works.

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