基于三维模型几何信息的纹理图像压缩  

Texture Image Compression Algorithm Based on 3D Geometric Information

作　　者：吴晓军[1,2] 徐广毅[1] 

机构地区：[1]哈尔滨工业大学深圳研究生院机电工程与自动化学院,深圳518055 [2]深圳先进运动控制技术与现代自动化装备重点实验室,深圳518055

出　　处：《计算机辅助设计与图形学学报》2016年第3期471-479,共9页Journal of Computer-Aided Design & Computer Graphics

基　　金：深圳市科技计划项目(CXB201105100073A;JCYJ20150928162432701;JCYJ20140417172417166)

摘　　要：为进一步压缩三维模型数据,提高网络传输的速度,同时不降低模型渲染的视觉表现效果.提出了一种基于三维模型几何信息的纹理图像压缩算法.首先对模型三维网格做重网格化,使网格具备半正则的规则拓扑结构;然后利用半正则网格表面的几何信息对模型的三维特征点进行提取,对三维特征点在纹理空间的映射点应用k-means聚类算法获取感兴趣区域;最后结合基于感兴趣区域的嵌入式零树小波压缩算法,实现对模型纹理图像数据的编码和解码操作.实验结果表明,该算法提取的纹理图像感兴趣的细节区域更精确、压缩比高,经过解码和重建后的纹理图像在对三维模型表面贴图映射后具有更好的视觉效果.To further compress the 3D mesh data and improve the network transmission speed, meanwhile not reduce the model rendering visual appearance, this paper presents a texture compression algorithm based on 3D geometric information. Firstly, remesh the 3D mesh to get semi-regular topology structure. Secondly, extract the 3D feature points on the semi-regular mesh and the corresponding features in texture image are clustered with k-means method to form some regions of interest (ROI). Finally, the encoding and decoding operations are real-ized on the texture image by combining the embedded zero-tree wavelet based on the ROIs. The experimental re-sults show that the proposed algorithm can acquire more accurate ROI in texture image with high compression rate. After being decoded, reconstructed, and texture mapping, the texture mapped to 3D model has a better visual effect.

关 键 词：三维模型 几何信息 纹理压缩 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]