【题名】：Geometric Signal Compression计算机科学与技术学报：英文版论文(Geometric Signal CompressionJiSuanJiKeXueYuJiShuXueBao：YingWenBanLunWen)
【关键词】：几何信号压缩 JPEG2000 小波变换 网格
【keywords】：JiHeXinHaoYaSuo JPEG2000 XiaoBoBianHuan WangGe
【作者】：KunZhou Hu-JunBao Jiao-YingShi Qun-ShengPeng 【来源】： 知识词典
【期刊名称】：计算机科学与技术学报：英文版(JiSuanJiKeXueYuJiShuXueBao：YingWenBan)
【国际标准刊号】：1000-9000 【国内统一刊号】：11-2296/TP
【作者单位】：StateKeyLabofCAD＆GG,ZhejiangUniuersityHangzhou310027,P.R.China(StateKeyLabofCAD＆GG,ZhejiangUniuersityHangzhou310027,P.R.China)
【分类号】：TN919.81 TP391.41 【页码】：-596-606 【出版年】：2004.5
【下载地址】：下载pdf全文
Compressian of mesh attributcs becomes a challenging problem due to the great need for efflcient storage and fast transmission. This paper presents a novel geometric signal compression framework for all mesh attributes, including position coordinates, normal, color, texture, ete. Within this framework, mesh attributes are regarded as geometric singnals defined on mesh surfaces. A planar paramcterization algorithm is first proposed to map 3D meshes to 2D parametric using an adaptive sammpling method. The JPEG2000 standard for still image compression is emplayed to effectively encode these regular signals into compact bit streams with high rate/distortion ratios. Experimental results demonstrate the great application potentials of this framework.
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