Using distance maps for accurate surface representation in sampled volumes
Using distance maps for accurate surface representation in sampled volumes
复制标题
使用距离图准确表示采样体积中的表面
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
S. Gibson
中科院分区：
文献类型：
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作者：
S. Gibson
体积图形中的高质量渲染和基于物理的建模受到限制，因为基于强度的体积数据不能很好地表示表面。由于物体表面的强度突然变化而导致的高空间频率会导致渲染图像中出现锯齿状或梯状表面。提出使用最近表面距离函数来编码物体表面。该函数在表面上平滑变化，因此可以根据采样数据准确地重建。距离图的零值等值面产生物体表面，距离图的导数产生表面法线。提供了渲染图像的示例以及从采样的二进制数据计算距离图的新方法。
High quality rendering and physics based modeling in volume graphics have been limited because intensity based volumetric data do not represent surfaces well. High spatial frequencies due to abrupt intensity changes at object surfaces result in jagged or terraced surfaces in rendered images. The use of a distance-to-closest-surface function to encode object surfaces is proposed. This function varies smoothly across surfaces and hence can be accurately reconstructed from sampled data. The zero value iso surface of the distance map yields the object surface and the derivative of the distance map yields the surface normal. Examples of rendered images are presented along with a new method for calculating distance maps from sampled binary data.