作者: Sébastien Valette , Raphaëlle Chaine , Rémy Prost
DOI: 10.1111/J.1467-8659.2009.01507.X
关键词: Sampling (signal processing) 、 Parametric statistics 、 Algorithm 、 T-vertices 、 Polygon mesh 、 Mathematical optimization 、 Compression (functional analysis) 、 Mathematics 、 Data compression 、 Distortion 、 Lossless compression
摘要: In this paper, we propose a novel progressive lossless mesh compression algorithm based on Incremental Parametric Refinement, where the connectivity is uncontrolled in first step, yielding visually pleasing meshes at each resolution level while saving information compared to previous approaches. The starts with coarse version of original mesh, which further refined by means refinement scheme. driven geometric criterion, spirit surface reconstruction algorithms, aiming generating uniform meshes. vertices coordinates are also quantized and transmitted way, following efficiently allocating bit budget. With assumption, generated intermediate tend exhibit sampling. potential discrepancy between resulting one corrected end algorithm. We provide proof-of-concept implementation, very competitive results works terms rate/distortion trade-off.