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Computer Vision (MAP-I Doctoral Program) 2017/18

Materials

• Course Description (pdf)

Course Objectives

The main objectives of this unit can be summarized in the following topics:

• Present and motivate the student for the various topics of Computer Vision.
• Provide the students with a core-set of mathematical tools, useful for most Computer Vision challenges.
• Introduce the student to national and international institutions and companies where Computer Vision is a potential solution to their real-world problems.
• Help the student develop rigorous research and development methodologies.

This module's program and structure has received CMU accreditation.

Lecture Notes

• Course Schedule and Program
• Lecture 1 - Introduction to Computer Vision - Part 1
• Lecture 2 - Introduction to Computer Vision - Part 2
• Lecture 3 - Segmentation
• Lecture 4 - Advanced Segmentation - Part 1, Part 2, Part 3
• Lecture 5 - Pattern Recognition Concepts I
• Lecture 6 - Pattern Recognition Concepts II
• Lecture 7 - Applications

Student Projects

• IEEE Template for the project paper
• Example 1 - In search of Human TLE rhythms
• Example 2 - YAAS-Yet Another Altitude Sensor based on Stereoscopic Vision
• Example 3 - Identifying Animal Herds in Aerial Images

Exams

• Sample Exam Questions - Module 1
• Sample Exam Questions - Modules 2 and 3
• Sample Exam Questions - Module 4

Contact

Miguel Tavares Coimbra

E-mail: mcoimbraSPAM@NOTdcc.fc.up.pt
Faculdade de Ciencias da Universidade do Porto
Departamento de Ciencia de Computadores
Rua do Campo Alegre, 1021/1055
4169 - 007 Porto, Portugal