Now, we will make use of our constraint equations to calculate the essential matrix. To get our constraints, remember that for each point in image A, we must find a corresponding point in image B. We can achieve such a matching using OpenCV's extensive 2D feature-matching framework, which has greatly matured in the past few years.
Feature extraction and descriptor matching is an essential process in Computer Vision, and is used in many methods to perform all sorts of operations, for example, detecting the position and orientation of an object in an image or searching a big database of images for similar images through a given query. In essence, feature extraction means selecting points in the ...
