A pel-based Volume Rendering Accelerator

While interactive visualization of rectilinear gridded volume data sets can now be accomplished using texture mapping hardware on commodity PCs, interactive rendering and exploration

In the recent past several compression options have been presented which enable decompression on-the-fly [KE02, LK02, BCF03, SW03], but all of these suffer from one key problem:

In ab- stract terms, a sampling algorithm takes a data set as input, as well as parameters describing the volume rendering re- quirements: the view frustum (i.e. camera location,

First, these approaches are usually problem spe- cific, e.g., they are suitable for visualising medical volume datasets using only an iso-surface volume rendering tech- nique [PPL

In this paper we propose a block volume compression technique, dubbed S3Dc (from Scalar 3Dc), inspired by 3Dc method, a lossy compression algorithm which is used to compress 2D

In particular, image-based painterly rendering algorithms analyze input image using image process and vision tech- nique, and create diverse brush strokes with different at-

• Development of a medical volume visualization tool based on a Light Field display.. Volumetric data

Ad- ditionally, we have introduced a new rendering pipeline on the GPU based on the online construction of a distance field volume from the extracted surface particles, which