1.Université de Lyon, CNRS,Université Lyon 1, LIRIS, UMR5205,Lyon,France;2.Université de Lyon, CNRS,INSA-Lyon, LIRIS, UMR5205,Lyon,France
Abstract:
We propose a new lossless progressive compression algorithm based on rate-distortion optimization for meshes with color attributes;
the quantization precision of both the geometry and the color information is adapted to each intermediate mesh during the
encoding/decoding process. This quantization precision can either be optimally determined with the use of a mesh distortion
measure or quasi-optimally decided based on an analysis of the mesh complexity in order to reduce the calculation time. Furthermore,
we propose a new metric which estimates the geometry and color importance of each vertex during the simplification in order
to faithfully preserve the feature elements. Experimental results show that our method outperforms the state-of-the-art algorithm
for colored meshes and competes with the most efficient algorithms for non-colored meshes.