Abstract:
Stereo vision refers to the ability to infer information on the 3-D structure of a
scene from two or more images taken from different viewpoints. Depth
information is lost in the initial phase when image is taken. Stereo pairs stand as
an imperative source for depth extraction. Processing a pair involves certain
steps and techniques exist for each one. But there is not a completely defined
approach, which encompasses these steps directing to depth extraction from a
stereo pair. This report describes a system, which automatically recovers the
depth information from images frames. After testing a number of stereo pairs, the
experimental results demonstrate that our proposed approach leads to a system
encompassing the state-of-art algorithms, which extracts the relative depth
information from a stereo pair. Our system finds a number of applications in 3D
vision, Robots systems, photogrammetry, traffic analysis and various other
applications.
