A geometry-aware compression of 3D mesh texture with random access
Navid Mahmoudian Bidgoli, Thomas Maugey, Aline Roumy, Fatemeh Nasiri, Frédéric Payan · 2019
A 3D mesh object is usually represented as a combination of several entities including geometrical information (i.e., the triangles and their position in space) and a texture atlas/map (i.e. a giant 2D image containing all the texture information that is mapped to the 3D object at the rendering stage). This atlas is usually compressed using a conventional 2D image coder, thus without taking into account the geometrical information. Moreover, the whole image is usually decoded even though only a subpart of the mesh is observed by a user. In this paper, we propose a novel approach to compress a texture atlas of a 3D model that enables random access during decoding, and nevertheless takes into account the correlation driven by the geometrical information. The experimental results demonstrate the benefits of the proposed coder.