3D model compression using connectivity-guided adaptive lifting transform

被引：0
|
作者：
Koese, Ktvan [1 ]
Cetin, A. Enis [1 ]
Gueduekbay, Ugur [2 ]
Onural, Levent [1 ]
机构：
[1] Bilkent Univ, Elekt Elekt Muhendisligi Bolumu, Ankara, Turkey
[2] Bilkent Univ, Bilgisayar Muhendisligi Bolumu, Ankara, Turkey
来源：
2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Two compression frameworks that are based on a Set Partitioning In Hierarchical Trees (SPIHT) and JPEG2000 methods are proposed. The 3D mesh is first transformed to 2D images on a regular grid structure. Then, this image-like representation is wavelet transformed employing an adaptive predictor that takes advantage of the connectivity information of mesh vertices. Then SPIHT or JPEG2000 is applied on the wavelet domain data. The SPIHT based method is progressive because the resolution of the reconstructed mesh can be changed by varying the length of the one-dimensional data stream created by SPIHT algorithm. The results of the SPIHT based algorith is observed to be superior to JPEG200 based mesh coder and MPEG-3DGC in rate-distortion.
引用
收藏
页码：149 / +
页数：2
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