Image mosaics from feature matching

Welcome to this lab in the computer vision course TEK5030 at the University of Oslo.

In this lab we will experiment with feature detection and matching to extract point correspondences between two images. We will then use these correspondences to estimate a homography between the images, which will enable us to create a live video mosaic!

Start by cloning this repository on your machine.

Then, open the lab project in CLion using the cmake-file in the base directory: lab-mosaic/CMakeLists.txt. If you are uncertain about how this is done, please take a look at the intro lab.

The lab is carried out by following these steps:

1. Get an overview
2. Features in OpenCV
3. Experiment with feature matching
4. Homography estimation
5. Creating an image mosaic

You will find our proposed solution at https://github.com/tek5030/solution-mosaic. Please try to solve the lab with help from others instead of just jumping straight to the solution ;)

Start the lab by going to the first step.

Prerequisites

• OpenCV must be installed on your system. If you are on a lab computer, you are all set.

  If you are on Ubuntu, but not on a lab computer, we refer to setup_scripts and the intro lab as a general getting started-guide for the C++ labs on Ubuntu 22.04.

  You will need to compile OpenCV from source to enable the xfeatures-module.

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