Adaptive coarse-to-fine quantization for optimizing rate-distortion of progressive mesh compression

Ho Lee (1) , Guillaume Lavoué (1) , Florent Dupont (1)

1 M2DisCo - Geometry Processing and Constrained Optimization

We propose a new connectivity-based progressive compression approach for triangle meshes. The key idea is to adapt the quantization precision to the resolution of each intermediate mesh so as to optimize the rate-distortion trade-off. This adaptation is automatically determined during the encoding process and the overhead is efficiently encoded using geometrical prediction techniques. We also introduce an optimization of the geometry coding by using a bijective discrete rotation. Results show that our approach delivers a better rate-distortion behavior than both connectivity-based and geometry-based compression state of the art methods

Domaines: Informatique [cs]

Ho Lee, Guillaume Lavoué, Florent Dupont. Adaptive coarse-to-fine quantization for optimizing rate-distortion of progressive mesh compression. Vision, Modeling, and Visualization Workshop(VMV), Nov 2009, Braunschweig, Germany. pp.73-82. ⟨hal-01437771⟩