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Alias-Free Voxelization of Geometric Objects
July-September 1999 (vol. 5 no. 3)
pp. 251-267

Abstract—We introduce a new concept for alias-free voxelization of geometric objects based on a Voxelization model (V-model). The V-model of an object is its representation in three-dimensional continuous space by a trivariate density function. This function is sampled during the voxelization and the resulting values are stored in a volume buffer. This concept enables us to study general issues of sampling and rendering separately from object specific design issues. It provides us with a possibility to design such V-models, which are correct from the point of view of both the sampling and rendering, thus leading to both alias-free volumetric representation and alias-free rendered images. We performed numerous experiments with different combinations of V-models and reconstruction techniques. We have shown that the V-model with a Gaussian surface density profile combined with tricubic interpolation and Gabor derivative reconstruction outperforms the previously published technique with a linear density profile. This enables higher fidelity of images rendered from volume data due to increased sharpness of edges and thinner surface patches.

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Index Terms:
Volume graphics, volume rendering, filter-based voxelization, normal estimation, error estimation.
Citation:
Milos Sramek, Arie E. Kaufman, "Alias-Free Voxelization of Geometric Objects," IEEE Transactions on Visualization and Computer Graphics, vol. 5, no. 3, pp. 251-267, July-Sept. 1999, doi:10.1109/2945.795216
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