Abstract
Stereoscopic vision systems (SVS) allow performing digital scene reconstruction through cameras. SVS process the obtained images by their cameras from a three-dimensional scene, identifying similarities between the images that correspond to the same scene and, finally, performing a reconstruction process. SVS can be differentiated by the number of cameras and the geometry used in their design. In this chapter, each SVS is classified by its number of cameras, so that it can be divided into binocular vision systems, where there are SVS of two cameras and multivision systems that consist of SVS of three or more cameras. The aim of this chapter is to provide useful information to students, teachers, and researchers who want to learn about the different methods and applications of SVS used in the industry and current research topics. Also, it will be useful for everyone who wants to implement an SVS and needs an introduction to several available options to use the most convenient according to the application.
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