This paper discusses an abstraction of how the volume visualization techniques are applied without delving into the implementation specifics of these techniques.
The paper gives some interesting volume characteristics in the form of voxels, grids and lattices. After learning these characteristics, we understand volume visualization is not an easy thing and requires interpolation and sampling and subsequently checking their reliability. The paper also covers some of the visualization methods and data classification techniques to make the visualization more meaningful and highlight the important aspects. The article makes us aware that volume visualization consists of many levels of data processing.
The different visualization algorithms alongwith their advantages and disadvantages, requirements are specified. I found the most interesting algorithm to bet he ray-casting method because it works at the pixel level and can be made parallel.
The paper finally emphasizes the importance of correct volume rendering because it has important applications in the medical field.
Overall, this paper lends generality by covering procedures, heuristics, algorithms, data and processing methods.
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