A Geometry-aware framework for compressing 3D mesh textures

Fatemeh Nasiri 1 Navid Mahmoudian Bidgoli 1 Frédéric Payan 2 Thomas Maugey 1
1 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : In this paper, we propose a novel prediction tool for improving the compression performance of texture atlases. This algorithm, called Geometry-Aware (GA) intra coding, takes advantage of the topology of the associated 3D meshes, in order to reduce the redundancies in the texture map. For texture processing, the general concept of the conventional intra prediction, used in video compression, has been adapted to utilize neighboring information on the 3D surface. We have also studied how this prediction tool can be integrated into a complete coding solution. In particular, a new block scanning strategy, as well as a graph-based transform for residual coding have been proposed. Experimental results show that the knowledge of the mesh topology can significantly improve the compression efficiency of texture atlases.
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Submitted on : Friday, February 15, 2019 - 12:03:59 PM
Last modification on : Monday, March 4, 2019 - 8:46:22 AM

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Fatemeh Nasiri, Navid Mahmoudian Bidgoli, Frédéric Payan, Thomas Maugey. A Geometry-aware framework for compressing 3D mesh textures. ICASSP 2019 - IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom. pp.1-5. ⟨hal-02010328⟩

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