Course Objectives, Requirements & Contents:

A basic problem of computer vision is to understand the structure of a real world scene given several images of it. Underpinning of the solutions to this problem is the intricate geometric relations that exist between the images of real world scenes. The goal of this course is to provide the students a complete theoretical understanding of the geometry between multiple uncalibrated views, and allow them to use these concepts to calculate the properties of scene and camera from real world images. Recent major developments in the theory and practice of scene reconstruction as well as the mathematics that is necessary for understanding the underlying geometric concepts will be introduced.

The objectives of the course are:

To understand the relation between multiple views of the scene,

To be able to retrieve camera parameters and 3d space points from image correspondences,

To understand the general principles of parameter estimation,

To obtain basic knowledge on projective geometry.

Credits: 2