Single-moment alignment of imprecise overlapping digital spatial datasets, maximizing local precision

Abstract

Single-moment alignment of imprecise overlapping digital spatial datasets, maximizing local precision, is described. In an embodiment, the process receives points of association that each have a location in a first coordinate system and a corresponding location in a second coordinate system, the latter misaligned relative to the first. The disclosed process in three steps determines and reports parameters to precisely align the followSpace the leadSpace. The parameters to align the followSpace may include a new origin location, or an equivalent translation, and a new orientation, generally in 3D space, of the followSpace coordinate system. Where needed, the parameters may include a scaling factor. Among many applications of the alignment process are augmented reality systems.

Dependencies are inferred from the claim text.