计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (22): 178-183.DOI: 10.3778/j.issn.1002-8331.2010.22.053

• 图形、图像、模式识别 • 上一篇    下一篇

基于上下文算术编码的非三角网格拓扑压缩

刘 迎, 韩忠明,陈 谊,黄今慧, 毛明毅,李海生   

  1. 北京工商大学 计算机与信息工程学院,北京 100048
  • 收稿日期:2009-10-15 修回日期:2010-01-06 出版日期:2010-08-01 发布日期:2010-08-01
  • 通讯作者: 刘 迎

Connectivity compression for non-triangular meshes by context-based arithmetic coding

LIU Ying,HAN Zhong-ming,CHEN Yi,HUANG Jin-hui,MAO Ming-yi,LI Hai-sheng   

  1. College of Computer & Information Engineering,Beijing Technology & Business University,Beijing 100048,China
  • Received:2009-10-15 Revised:2010-01-06 Online:2010-08-01 Published:2010-08-01
  • Contact: LIU Ying

摘要: 网格拓扑压缩方法是计算机图形学的基础算法。该文方法是单分辨率,主要针对非三角网格模型的拓扑信息作无损压缩。算法首先遍历网格的所有多边形得到操作系列;然后对操作系列作霍夫曼编码;再对霍夫曼编码结果作基于上下文长度可变的算术编码得到最后的压缩结果。相比于对非三角网格拓扑信息作压缩的压缩比很高的算法,该算法得到的压缩结果更好。此算法的另一个突出优点是在解码时间和空间上有了改进——新算法可以在接收一个多边形的编码后立即完成解码并抛弃这个编码,从而使得该算法特别适用于在线传输和解码的实时与交互应用场合。此外,该算法还可以处理有空洞和柄(handle)的模型。

关键词: 基于上下文的算术编码, 网格, 拓扑压缩, 编码, 解码

Abstract: The method that encodes the connectivity information for general polygon meshes is the foundation of graphics field.The algorithm in this paper is a single-resolution lossless compression method for mesh models,mainly for non-triangular mesh models.By the method,all faces are encoded firstly to obtain operator series,then Huffman coder is applied to encode these operator codes,and finally a context-based arithmetic coder is employed to encode the Huffman codes.This method can provide a higher compression ratio for non-triangular meshes in comparison with the excellent algorithms previously proposed.The new method can save much of the decoding time and space,by introducing a decoding scheme so that the operator code can be immediately discarded as soon as it is decoded.Therefore,the decoding method can be well applied to the applications with online transmission and decoding.The algorithm is also capable of handling the meshes with holes and handles.

Key words: context-based arithmetic coder, meshes, connectivity compression, encode, decode

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