Computer Vision Basics (Coursera)

Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.

This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB.

Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes.

* A free license to install MATLAB for the duration of the course is available from MathWorks.

What You Will Learn

- Understand what computer vision is and its goals

- Identify some of the key application areas of computer vision

- Understand the digital imaging process

- Apply mathematical techniques to complete computer vision tasks

Syllabus

WEEK 1

Computer Vision Overview

In this module, we will discuss what computer vision is, the fields related to it, the history and key milestones of it, and some of its applications.

WEEK 2

Color, Light, & Image Formation

In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation.

WEEK 3

Low-, Mid- & High-Level Vision

In this module, we will discuss the three-level paradigm of computer vision that was proposed by David Marr. We will also discuss low, mid, and high level vision.

WEEK 4

Mathematics for Computer Vision

In this lecture, we will discuss the Mathematics used in Computer Vision, which includes linear algebra, calculus, probability, and much more.