Pose estimation and Augmented Reality

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

In this lab we will implement pose estimation based on 2D-3D correspondences from scratch!

Start by cloning this repository on your machine.

Then, open the project in PyCharm. 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. Camera calibration
3. Implement homography-based pose estimation
4. Experiment with Motion-only Bundle Adjustment

Please start the lab by going to the first step.