Reference

Filter masks are fundamental to the implementation of image filters, which are used in many computer vision algorithms.

Taking the derivative of an image is a concept that I’ve seen come up both in edge detection and in computing optical flow. It’s confused the heck out of me because I would normally think of derivatives in terms of taking the derivative of a continuous function. However, with an image, you have a 2D matrix of seemingly random values, so what could it mean to take the derivative?

Lecture 01 Introduction to Computer Vision

There is a copmuter vision lecture series with Dr. Mubarak Shah that the University of Central Florida recently published to YouTube. It looks like the lectures are from the fall / winter of 2012. I’ve found these lectures extremely helpful in a lot of the computer vision learning and research that I’ve been doing.