Work

Multiresolution Rendering Based on Gpgpu Computing

Year: 2014

Type: article

Abstract: The problem of visualizing large volumetric datasets is appealing for computation on the GPU. Nevertheless, the design of GPU volume rendering solutions must deal with the limited available memory in a graphics card. In this work, we present a system for multiresolution volume rendering which preprocesses the dataset dividing it into bricks and generating a compressed version by applying different levels of compression based on wavelets. The compressed volume is then stored in the GPU memory. For the later visualization process by texture mapping each brick of the volume is decompressed and rendered with a different resolution level depending on its distance to the camera. This approach computes most of the tasks in the GPU, thus minimizing the data transfers among CPU and GPU. We obtain competitive results for volumes of size in the range between 64 and 256.

Source: International Journal of Computing

DOI: 10.47839/ijc.12.4.609

Authors: Julián Lamas-Rodríguez, Francisco Argüello, Dora B. Heras

Institution: Universidade de Santiago de Compostela

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Ministerio de Ciencia e Innovación, Xunta de Galicia

Awards: G4235047207, G7173589171