Filter Masks
Filter masks are fundamental to the implementation of image filters, which are used in many computer vision algorithms.
Image Derivative
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?
UCF Lecture 01 - Introduction To Computer Vision
Lecture 01 Introduction to Computer Vision
UCF Computer Vision Lecture Series
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.
OpenCV SIFT Tutorial
This tutorial covers SIFT feature extraction, and matching SIFT features between two images using OpenCV’s ‘matcher_simple’ example. It does not go as far, though, as setting up an object recognition demo, where you can identify a trained object in any image.