Another very good read for knowing the pointers to understanding volume visualization, the paper does a decent job in presenting to the user the algorithms used in volume visualization. I agree with the authors that volume visualization must offer quick data manipulation because it is important the user is presented the result of his selection parameters with as few clicks as possible. It is not possible to favor one algorithm at the cost of another, different algorithms have applications in different fields. If we look at the algorithms that are presented, none of them can most certainly be applicable to large dimensional data even though they work with large data sets.
The paper gets somewhat complicated as the content proceeds because this paper is purely based on algorithms used in computer graphics. There will definitely be many unanswered questions by the end of the paper because of the terminology used. I personally do not understand the color codes used for CT data, are these standards? If yes, then over a period of many years with color improvements the standards should have most certainly changed. Also, I feel the authors could have presented a more deeper insight into one of the algorithms so that it can be seen as an attempt to solve one of the many problems which are yet to be solved as described in the summary section. Even though the authors claim that the presented material is just an introduction to the algorithms used in volume visualization, the terminology could have been explained better.
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