附加法向信息的三维网格预测编码

为提升三维网格的压缩性能，提出了一种网格法向与几何帧内-帧间预测编码方法.该方法充分利用法向数据内部分量间（帧内）及几何与法向数据间（帧间）的相关性，实现附加法向信息的三维网格压缩，有效保持解码后三维网格的几何特性.实验结果表明，提出的预测编码方法相比分别压缩三维网格法向与几何数据，能够显著提高附加法向信息三维网格的压缩效率. 

Compression of 3D Mesh Based on Normal Data Prediction

As an important data type of digital geometric media, 3D mesh can accurately record the geometric information on the surface of models. The complexity and precision of 3D meshes have been increased, which has brought huge pressure for storage and transmission. In order to improve the compression performance of 3D mesh, a geometry and normal intra-inter prediction encoding method was proposed. Utilizing the correlation of internal components of the normal data (intra-frame) and the correlation between the geometric and normal data (inter-frame), the method was designed to realize the compression of 3D mesh and to effectively maintain geometric characteristics of decoded 3D mesh. Experimental results show that, in comparison with compressing the normal and geometric data respectively, the proposed prediction encoding methods can significantly increase compression efficiency for 3D mesh with normal data.