Computer Vision Basics

Image Transformations

Go to chapter 1

• Color Spaces and color filtering
• Edge detection with Canny and the sobel operator
• Morphological Transformations

Cascade Filters

Go to chapter 2

• Haar Like Features
• Histogram of Oriented Gradients (HOG)

Feature Matching

Go to chapter 3

• Features from Accelerated Segment Test (FAST)
• Binary Robust Independent Elementary Features (BRIEF)
• Oriented FAST and Rotated BRIEF (ORB)

Additional

Go to Extras

• ArUco Tags for augmented reality
• Line Detection with the hough transform

About

In this repository I try to accomplish a Basics Computer Vision course, consider it just like a brief introduciton so you can start with this field of study. You will find some examples and theory about important basic topics. All this is build with python 3.5 and opencv 3. Feel free to change the python version, some features may change but it keeps the idea. If you have any suggestions or doubts do not hesitate on contacting me!