With devices such as the Microsoft HoloLens now able to scan and record 3D scenes as meshes, a novel way of registering scenes taken from different coordinate systems and at different times is required.
We base our work off of the Guaranteed Outlier Removal Method presented by Bustos and Chin and expand it beyond point clouds to analyze 3D meshes. However, we could not conclude that GORE can perform consistently and effectively on real-world datasets generated by the HoloLens.
In particular, we identified that GORE has the most difficulty when the points from two datasets do not have significant overlap, notably any values below the 80% threshold. This places severe limitations on the applications of GORE, especially on real-life alignment problems.