This paper is what its title says. It gives an introduction to various algorithms used for volume visualization."Volume visualization is used to create images from scalar and vector datasets defined on multiple dimensional grids, i.e., it is the process of projecting a multidimensional (usually 3D) dataset onto a 2D image plane to gain an understanding of the structure contained within the data."2-D visualization is hard, but 3D visualization is much harder. CT scan, MR scan are used for this 3D visualization. It talks about terminologies like vortex,cells. It concludes by stating problems like multivariate,non-Cartesian grids which are yet to be solved. This paper is hard for me to understand as I have no background in CG.
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