Fundamental matrix (computer vision)

Imagine that you are watching a movie, and you see the same person in multiple scenes but from different angles. The fundamental matrix is like a magic code that helps the computer understand the relationship between the different views of the person.

The fundamental matrix is a mathematical tool that helps computers understand how two different images of the same object or scene are related. It is used in computer vision to solve problems such as stereo vision, structure from motion, and camera calibration.

To make it easier for the computer, you can think of the fundamental matrix as a secret code that helps the computer figure out how two images of the same thing relate to each other. It does this by analyzing the location and orientation of key points or features in both images.

For example, if you have two images of a car, the fundamental matrix will help the computer understand that these two pictures are of the same car, even though they were taken from different angles. It does this by analyzing the position and orientation of the car's key features (such as the wheels or the roof) in both images.

In summary, the fundamental matrix is like a secret code that helps the computer understand how two different images of the same object relate to each other, by analyzing the position and orientation of key features in both images.