Tuesday, October 4, 2011

Reaction: A Survey of Algorithms for volume Visualization

The paper is an excellent understanding of how volumetric datasets can be visualized in realtime where present day datasets are very huge and optimistic analysis is required to display them with tight time constraints. I think data classification and viewing and shading are the two important factors that influence the visual perception of the data and these are to be chosen suitably to get a better understanding of the data. The contour connecting algorithm seems simple, but there is a problem when there exists multiple triangles or contours formed in each data slice and there will be a confusion on which data slice to connect.

I think the marching cubes algorithm presented in the paper is an optimum way of representing the volumetric data and further improvements like dividing cubes can be used to avoid ambiguities and the gradient calculations also preserve small features of the data opposed to the opaque cubes method. So different algorithms can be used in different types of applications like opaque cubes can be used where we need to represent large sets of data and neglecting small features doesn't matter or we can use splatting technique where high quality images are needed and attention to detail is important. So, the paper helps a lot in choosing a proper algorithm that helps in visualizing data based on need.