Computer vision is one of the most studied subjects of recent times with paramount
focus on stereo vision. Lot of activities in the context of stereo vision are getting
reported spanning over vast research spectrum including novel mathematical ideas,
new theoretical aspects, state of the art techniques and diverse range of applications.
The book is a new edition of stereo vision book series of INTECH Open Access
Publisher and it presents diverse range of ideas and applications highlighting current
research/technology trends and advances in the field of stereo vision.
The book presents a wide range of innovative research ideas and current trends in stereo vision. The topics covered in this book encapsulate research trends from fundamental theoretical aspects of robust stereo correspondence estimation to the establishment of novel and robust algorithms as well as applications in a wide range of disciplines.
An image is a two dimensional projection of a three dimensional scene. Hence a degeneration
is introduced since no information is retained on the distance of a given point in the space.
In order to extract information on the three dimensional contents of a scene from a single
image it is necessary to exploit some a priori knowledge either on the features of the scene,
i.e. presence/absence of architectural lines, objects sizes, or on the general behaviour of
shades, textures, etc.