A new progressive lossy-to-lossless coding method for 2.5-D triangle meshes with arbitrary connectivity
Date
2016-11-03
Authors
Han, Dan
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Abstract
A new progressive lossy-to-lossless coding framework for 2.5-dimensional (2.5-D) triangle
meshes with arbitrary connectivity is proposed by combining ideas from the previously proposed average-difference image-tree (ADIT) method and the Peng-Kuo (PK) method with several modifications. The proposed method represents the 2.5-D triangle mesh with a binary tree data structure, and codes the tree by a top-down traversal. The proposed framework contains several parameters. Many variations are tried in order to find a good choice for each parameter considering both the lossless and progressive coding performance. Based on extensive experimentation, we recommend a particular set of best choices to be used for these parameters, leading to the mesh-coding method proposed herein
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Keywords
mesh compression