Efficient wavelet‐based geometry compression
Efficient wavelet‐based geometry compression
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DOI：
10.1002/cav.410
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发表时间：
2011-04
影响因子：
1.1
通讯作者：
Chong Zhao;Hanqiu Sun;K. Qin
中科院分区：
文献类型：
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作者：
Chong Zhao;Hanqiu Sun;K. Qin
近年来，一些通过局部提升构造的小波被用来加速几何模型的压缩。与传统的基于小波的全局优化压缩不同，它们的压缩比仍然不够，特别是在低比特率的情况下。在本文中，我们提出了一种新的有效的基于小波的压缩方法，使用三角网格上的矩阵值Loop细分。基于局部提升格式，小波变换的计算效率高，占用内存少。该方法利用矩阵细分引入的形状控制，在保持数据压缩效率的同时，极大地提高了曲面的拟合质量。实验结果表明，我们的小波变换在效率和压缩比方面具有更好的平衡性能。版权所有©2011 John Wiley&Sons，Ltd.
In recent years, some wavelets constructed via local lifting have been proposed to accelerate the compression of geometric models. Unlike the traditional wavelet‐based compression with global optimisation, their compression ratios are still not sufficient, particularly at low‐bit rates. In this paper, we present a novel efficient wavelet‐based compression approach using the matrix‐valued Loop subdivision on triangular meshes. Based on the local lifting scheme, the computation of the wavelet transform is highly efficient and requires low memory usage. With the shape controls introduced by the matrix‐valued subdivision, our approach can greatly improve the fitting quality of surfaces while keeping the efficient data compression. The experimental results showed that our wavelet transform had better performance on balancing the efficiency and compression ratios. Copyright © 2011 John Wiley & Sons, Ltd.