A robust and rotationally invariant local surface descriptor with applications to non-local mesh processing

TitleA robust and rotationally invariant local surface descriptor with applications to non-local mesh processing
Publication TypeJournal Articles
Year of Publication2011
AuthorsMaximo A., Patro R., Varshney A, Farias R.
JournalGraphical ModelsGraphical Models
Volume73
Type of Article10.1016/j.gmod.2011.05.002
ISBN Number1524-0703
KeywordsLocal descriptors, Non-local mesh processing, shape analysis, Similarity processing
Abstract

In recent years, we have witnessed a striking increase in research concerning how to describe a meshed surface. These descriptors are commonly used to encode mesh properties or guide mesh processing, not to augment existing computations by replication. In this work, we first define a robust surface descriptor based on a local height field representation, and present a transformation via the extraction of Zernike moments. Unlike previous work, our local surface descriptor is innately rotationally invariant. Second, equipped with this novel descriptor, we present SAMPLE – similarity augmented mesh processing using local exemplars – a method which uses feature neighbourhoods to propagate mesh processing done in one part of the mesh, the local exemplar, to many others. Finally, we show that SAMPLE can be used in a number of applications, such as detail transfer and parameterization.