Technical report detail

Exploring Compression in Edge Shape Space

by Stefano Marras, Kai Hormann

It often happens that the 3D representation of a scene or a shape exhibits some static or dynamic content and thus requires to store a large amount of geometric information. A number of techniques to reduce the size of such data have been proposed and most techniques are able to greatly reduce the amount of data by detecting the spatial and temporal relationship between the coordinates of nearby vertices. In this work we present an overview of compression techniques in edge space. We exploit redundancy in this space and propose different methods to encode and compress dynamic geometric data in terms of edges. Our results show that this shape space does not appear to be the best choice for compression, and we discuss the issues and provide some explanation for the poor performance.

Technical report 2015/04, October 2015

BibTex entry

@techreport{15exploring, author = {Stefano Marras and Kai Hormann}, title = {Exploring Compression in Edge Shape Space}, institution = {University of Lugano}, number = {2015/04}, year = 2015, month = oct }