Reaction: A Survey of Algorithms for Volume Visualization

In this paper, the two main categories of volume visualization algorithms - SF and DVR have been presented, alongwith the different algorithms such as Ray Casting, Marching Cubes, etc. This spans the range from cube techniques for surface fitting to projection and image-order methods.

The discussion on photorealism is aptly presented and is a good value addition. I found the argument very interesting. Firstly, it states that visualization should be bounded by common interpretation. Secondly, it says info viz. is about abstracting data to provide that amount of dataset which can be easily interpreted. On the other hand, some concepts were a bit difficult to understand, such as the depth fog and brightness attenuation. Nevertheless, the paper was well written and helped me understand a great deal about the different techniques and challenges that usually define volume visualization.