Interest Point Detection in Computer Vision - Lecture 4

Explore the fundamentals of interest point detection in computer vision through this comprehensive lecture. Delve into the concept of interest points, their applications, and the Harris Corner Detector algorithm. Examine the aperture problem, compare correlation and sum of squared differences (SSD) methods, and understand auto-correlation. Learn about Brook Taylor's contributions and the Taylor Series, with practical examples provided. Gain insights into the step-by-step algorithm for interest point detection, equipping yourself with essential knowledge for image processing and computer vision tasks.

Intro
What is an interest point
Where can we use it?
Harris Corner Detector
Aperture Problem
Correlation Vs SSD
Auto-Correlation
Brook Taylor (1685-1731)
Taylor Series
Example
Algorithm