NETE Towards 3D Pipe Reconstruction Employing Affine Transformations from Video Information

Abstract

The development of a virtual scenario is desirable
in a number of hostile environments such as in mining, or sewer
pipelines to inspect its current condition and to identify possible
failures. Obtaining a virtual image through the reconstruction of
the mineshaft or inner pipe is a valuable tool for assessment and
fault detection. In this paper, we present results for our 3D
reconstruction approach, which proposes to employ regions with
affine transformations that are used as dense correspondences.
These features are calculated through local correspondences,
such as the SIFT (Scale-invariant feature transform) and SURF
(Speeded Up Robust Features). The correspondences are
required to obtain the orientation and position of the camera and
to get the structure of the scene leading to the creation of the 3D
environment. The algorithm is presented as well as its results,
which highlights the potential of the method.