Classical Computer Vision
We will learn the concepts of Epipolar geometry and point correspondences. We will then use these concepts discuss how to calculate depth from stereo disparity.
In a previous post, we went over the geometry of image formation and learned how a point in 3D gets projected on to the image plane of a camera. The
In this post, we will learn how to perform feature-based image alignment using OpenCV. We will share code in both C++ and Python. We will demonstrate the steps by way
In this post, we will learn the details of the Histogram of Oriented Gradients (HOG) feature descriptor. We will learn what is under the hood and how this descriptor is
Terms like βHomographyβ often remind me how we still struggle with communication. Homography is a simple concept with a weird name! In this post we will discuss Homography examples using
