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Fil d'Ariane

  1. Accueil
  2. Incremental Parametric Refinement for Progressive Lossless mesh compression

Incremental Parametric Refinement for Progressive Lossless mesh compression

Sébastien Valette, Raphaëlle Chaine and Rémy Prost

Purpose and Context

We propose a novel progressive transmission scheme for 3D triangular meshes VALE-09. The intermediate meshes tend to exhibit uniform sampling, which results in visually pleasing meshes and very efficient progressive transmisison.

Methods

The algorithm starts with a coarse version of the original mesh, which is further refined by means of a novel refinement scheme. The mesh refinement is driven by a geometric criterion, in spirit with surface reconstruction algorithms, aiming at generating uniform meshes. The vertices coordinates are also quantized and transmitted in a progressive way, following a geometric criterion, efficiently allocating the bit budget.

With this assumption, the generated intermediate meshes tend to exhibit a uniform sampling. The potential discrepancy between the resulting connectivity and the original one is corrected at the end of the algorithm. We provide a proof-of-concept implementation, yielding very competitive results compared to previous works in terms of rate/distortion trade-off.

Results

Figure 1 shows several intermediate meshes obtained obtained when transmitting the Fertility model. Note the uniform sampling of intermediate levels.

Figure 1 : progressive transmission of the Fertility Model. From left to right : Base mesh, intermediate model (1k vertices), intermediate model (8.5k vertices), final mesh (241k vertices)

Collaboration

This work was performed in collaboration with Raphaëlle Chaine from the LIRIS laboratory

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