Stereo Vision is an area of study in the field of Machine Vision that attempts to recreate the human vision system by using two or more 2D views of the same scene to derive 3D depth information about the scene.

Depth information can be used to track moving objects in 3D space, gather distance information for scene features, or to construct a 3D spatial model of a scene.

As an emerging technology, Stereo Vision algorithms are constantly being revised and developed, and as we will discuss in this paper, many alternative approaches exist for implementation of a Stereo Vision system.

This paper introduces Stereo Vision as an area of current international research, presents some interesting applications of Stereo Vision, and discusses implementation of a Stereo Vision system.