3D Reconstruction From 2D Data

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.