Component based correspondence matching for reconstructing cables

Abstract

In a stereoscopic pair of images, global homography at the image level is applied to feature points extracted from connected components (CC) to identify corresponding CC's and feature points, and to discard any CC's that do not have a corresponding pair in the stereoscopic pair of images. Local homography at the CC level is then applied to individual footprint areas of the previously identified paired CC to further clean feature point correspondence. Any CC or feature point or pixel within a paired CC footprint not satisfying local homography constraint is discarded. A correspondence is also extrapolated between unknown pixels within a paired CC footprint using a weighing mechanism and the unknown pixel's surrounding pixels that do have a known correspondence. This provides a dense correspondence of pixels, or feature points, which is then used to create a dense 3D point cloud of identified objects within a 3D space.