Datensatz

Zusammenfassung

Statistical methods are well suited to the large amounts of data typically involved in digital shape applications. In this paper, we look at two statistical learning methods related to digital shape processing. The first, \textit{neural meshes}, learns the shape of a given point cloud \--- the surface reconstruction problem \--- in $O(n^2)$ time. We present an alternate implementation of the algorithm that takes $O(n\log n)$ time. Secondly, we present a simple method to automatically learn the correct orientation of a shape in an image from a database of images with correctly oriented shapes.