Compression of functions defined on surfaces of 3D objects

K. Kolarov, W. Lynch
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引用次数: 18

Abstract

We present a technique to compress scalar functions defined on 2-manifolds. Our approach combines discrete wavelet transforms with zerotree compression, building on ideas from three previous developments: the lifting scheme, spherical wavelets, and embedded zerotree coding methods. Applications lie in the efficient storage and rapid transmission of complex data sets. Typical data sets are Earth topography, satellite images, and surface parametrizations. Our contribution is the novel combination and application of these techniques to general 2-manifolds.
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压缩定义在三维物体表面上的函数
提出了一种压缩2-流形上定义的标量函数的方法。我们的方法结合了离散小波变换和零树压缩,建立在三个先前发展的思想之上:提升方案,球面小波和嵌入式零树编码方法。应用在于复杂数据集的高效存储和快速传输。典型的数据集是地球地形、卫星图像和地表参数化。我们的贡献是将这些技术新颖地结合并应用于一般的2-流形。
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