In this post, i will remind the reader about the famous Gauss Newton optimization technique. We will see how Jacobian matrices are required to achieve such a kind of optimization and how it applies to our common computer vision problems.
This article describes how to construct a geometric transformation between two images representing two views of an object.
There are many ways to express affine transformations. In this post are discussed several possibilities and the choice I’m used to make when implementing an application that requires 3D transformations.
Projective geometry is an important subject if you wish to create computer vision applications.
In this post, is presented a youtube™ video that aims to show the differences between the P3P (Perspective-Three-Point) principle such as implemented in opencv and my own implementation.