Streaming Compression of Triangle Meshes

  title={Streaming Compression of Triangle Meshes},
  author={Martin Isenburg and Peter Lindstrom and Jack Snoeyink},
  booktitle={Symposium on Geometry Processing},
Current mesh compression schemes encode triangles and vertices in an order derived from systematically traversing the connectivity graph. These schemes struggle with gigabyte-sized mesh input where the construction and the usage of the data structures that support topological traversal queries become I/O-inefficient and require large amounts of temporary disk space. Furthermore they expect the entire mesh as input. Since meshes cannot be compressed until their generation is complete, they have… CONTINUE READING
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