A Geometry-aware Framework for Compressing 3D Mesh Textures
Fatemeh Nasiri, Navid Mahmoudian Bidgoli, Frédéric Payan, Thomas Maugey
Abstract
This paper proposes 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 concept of the conventional intra prediction, used in video compression, has been adapted to consider 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 block scanning strategy and a graph-based transform for residual coding have been proposed. Results show that the knowledge of the mesh topology significantly improves the compression efficiency of texture atlases.
BibTeX
@inproceedings{icassp2019_ageometryawarefr,
title = {A Geometry-aware Framework for Compressing 3D Mesh Textures},
author = {Fatemeh Nasiri and Navid Mahmoudian Bidgoli and Frédéric Payan and Thomas Maugey},
booktitle = {ICASSP 2019},
year = {2019}
}