Introduction

In this project, techniques of Computer Vision in Augmented Reality will be used. We use "Feature Detection" algorithms, homography matrix concepts and camera calibration.

The program is divided into two parts: "Preparation" and "Augment".

In the first part, using a frontal map, the points of interest to be raised, calculate and save the feature points, and calculate the intrinsic value matrix of the camera will be chosen.

In the second part, using a photograph of the frontal map and with some transformations in the perspective, for a provided image of the map the point of interest is calculated closer to the respective center, and the point will be "augmented", that is, the distance is shown from this point to the center and images associated with the point of interest, as well as a compass representing the orientation of the map provided.