Reaction: A Survey of Algorithms for Volume Visualization

The paper mainly talks about visualization algorithms and the many related concepts that are to be considered for volume visualization. I felt this paper is very well written and organized and can act as a brief yet informative read on the techniques and the challenges involved in such high quality, huge visualizations.

Moving on, I could relate and understand this paper well as I have worked on an image processing project that isolates a desired or target object from its background. So , I had to using the technique of feature extraction where a threshold value is applied to choose or nullify certain pixel values. As I read this paper, I found that this is a popular technique and is called the surface-fitting(SF) algorithm.

I also agree with the authors that data classification is one of the greatest challenges in such visualizations. It is an elaborate iterative trial-and-error process to get the right threshold for image properties.

Among the algorithms, we did read marching cubes in detail in one of the papers. However, I found the ray casting algorithm fascinating as I do feel from the description of the method that it might produce the best images. I assume that it is computationally more intensive because of its detailing