Mesh compression

Mesh compression

Mesh compression teaser

A polygonal input mesh is traversed and encoded as a stream of operations (marked using different colors) and attributes. During traversal, the mesh is implicitly converted into a triangle mesh and stored as a bit stream. The final compressed representation allows us to recover the original polygons rather than the intermediate triangle mesh.


Polygonal meshes are used in various fields ranging from CAD to gaming and web based applications. Reducing the size required for storing and transmitting these meshes by taking advantage of redundancies is an important aspect in all of these cases. In this paper, we present a connectivity based compression approach that predicts attributes and stores differences to the predictions together with minimal connectivity information. It is an extension to the Cut-Border Machine and applicable to arbitrary manifold and non-manifold polygonal meshes containing multiple attributes of different types. It compresses both the connectivity and attributes without loss outside of re-ordering vertices and polygons. In addition, an optional quantization step can be used to further reduce the data if a certain loss of accuracy is acceptable. Our method outperforms state-of-the-art compression techniques, including specialized triangle mesh compression approaches when applicable. Typical compression rates for our approach range from 2:1 to 6:1 for lossless compression and up to 25:1 when quantizing to 14 bit accuracy.


Compression of Non-Manifold Polygonal Meshes Revisited
Max von Buelow, Stefan Guthe and Michael Goesele
In: Vision, Modeling and Visualization, 2017
[Pre-Print] [Bibtex]

Source Code

The source code can be found at this Github repository.