Display of surfaces from volume data
TL;DR: In this article, a volume-rendering technique for the display of surfaces from sampled scalar functions of 3D spatial dimensions is discussed, which is not necessary to fit geometric primitives to the sampled data; images are formed by directly shading each sample and projecting it onto the picture plane.
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Abstract: The application of volume-rendering techniques to the display of surfaces from sampled scalar functions of three spatial dimensions is discussed. It is not necessary to fit geometric primitives to the sampled data; images are formed by directly shading each sample and projecting it onto the picture plane. Surface-shading calculations are performed at every voxel with local gradient vectors serving as surface normals. In a separate step, surface classification operators are applied to compute a partial opacity of every voxel. Operators that detect isovalue contour surfaces and region boundary surfaces are examined. The technique is simple and fast, yet displays surfaces exhibiting smooth silhouettes and few other aliasing artifacts. The use of selective blurring and supersampling to further improve image quality is described. Examples from molecular graphics and medical imaging are given. >
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Compositing digital images
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TL;DR: Most computer graphics pictures have been computed all at once, so that the rendering program takes care of all computations relating to the overlap of objects.
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