Triangulation (computer vision)

Okay, let's imagine that you are playing hide and seek with your friends. When you hide, your friends can't see you because you are hiding behind a tree. But if your friends go to different parts of the playground and find the spot where they can each see the tree and where you are hiding, they can figure out exactly where you are. This is what triangulation is.

In computer vision, triangulation is a technique used to determine the position of objects in 3D space using images taken from different angles or perspectives. Essentially, it works by using the principle of triangulation to calculate the distance between the camera and the object.

This is done by taking multiple images of the same object from different positions using cameras. The computer then looks at these images and uses the information in each image to create a 3D model of the object. In order to do this, the computer looks for common points in each image and uses the angles that these points make with the cameras to calculate the distance to the object.

The process of triangulation can be quite complex, but it is very useful in computer vision because it allows us to determine the position of objects in 3D space. This can be used for a wide range of applications, such as reconstructing 3D scenes from multiple images or tracking the movement of objects in real-time, like in video game or augmented reality applications.