3 accepted papers
We propose two novel minimal solvers which advance the state of the art in satellite imagery processing. Our methods are efficient and do not rely on the prior existence of complex inverse mapping functions to correlate 2D image coordinates and 3D terrain. Our first solver improves on the stereo cor…
We target the sparse 3D reconstruction of dynamic objects observed by multiple unsynchronized video cameras with unknown temporal overlap. To this end, we develop a framework to recover the unknown structure without sequencing information across video sequences. Our proposed compressed sensing frame…
This paper proposes a new incremental structure from motion (SfM) algorithm based on a novel structure-less camera resection technique. Traditional methods rely on 2D-3D correspondences to compute the pose of candidate cameras using PnP. In this work, we take the collection of already reconstructed…