Geometry images
Geometry images
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DOI：
10.1145/566570.566589
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发表时间：
2002-07
期刊：
影响因子：
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通讯作者：
X. Gu;S. Gortler;Hugues Hoppe
中科院分区：
文献类型：
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作者：
X. Gu;S. Gortler;Hugues Hoppe
表面几何形状通常用不规则三角形网格来建模。重新网格化的过程是指使用具有（半）规则连通性的网格来近似这种几何形状，这对许多图形应用程序具有优势。然而，当前用于对任意表面重新网格化的技术只能创建半规则网格。原始网格通常被分解为一组盘状图表，几何形状在其上被参数化和采样。在本文中，我们提议将任意表面重新网格化到一种我们称为几何图像的完全规则结构上。它将几何形状捕捉为一个量化点的简单二维数组。像法线和颜色这样的表面信号使用相同的隐式表面参数化存储在类似的二维数组中——不存在纹理坐标。为了创建一个几何图像，我们沿着边路径网络切割任意网格，并将得到的单个图表参数化到一个正方形上。几何图像可以使用传统的图像压缩算法进行编码，例如基于小波的编码器。
Surface geometry is often modeled with irregular triangle meshes. The process of remeshing refers to approximating such geometry using a mesh with (semi)-regular connectivity, which has advantages for many graphics applications. However, current techniques for remeshing arbitrary surfaces create only semi-regular meshes. The original mesh is typically decomposed into a set of disk-like charts, onto which the geometry is parametrized and sampled. In this paper, we propose to remesh an arbitrary surface onto a completely regular structure we call a geometry image. It captures geometry as a simple 2D array of quantized points. Surface signals like normals and colors are stored in similar 2D arrays using the same implicit surface parametrization --- texture coordinates are absent. To create a geometry image, we cut an arbitrary mesh along a network of edge paths, and parametrize the resulting single chart onto a square. Geometry images can be encoded using traditional image compression algorithms, such as wavelet-based coders.