3D Primitives Gpgpu Generation for Volume Visualization in 3D Graphics Systems

TL;DR

This paper presents a GPU-based method for efficient generation of 3D primitives for volume visualization, demonstrating improved performance and quality over existing approaches.

Contribution

The authors introduce a CUDA-based algorithm for voxelizing 3D line segments, enhancing volume visualization techniques with experimental validation.

Findings

GPU implementation improves efficiency of 3D segment generation

Method outperforms existing approaches in quality and speed

Effective for fixed and arbitrary length 3D segments

Abstract

This article discusses the study of 3D graphic volume primitive computer system generation (3D segments) based on General Purpose Graphics Processing Unit (GPGPU) technology for 3D volume visualization systems. It is based on the general method of Volume 3D primitive generation and an algorithm for the voxelization of 3D lines, previously proposed and studied by the authors. We considered the Compute Unified Device Architect (CUDA) implementation of a parametric method for generating 3D line segments and characteristics of generation on modern Graphics Processing Units. Experiments on the test bench showed the relative inefficiency of generating a single 3D line segment and the efficiency of generating both fixed and arbitrary length of 3D segments on a Graphics Processing Unit (GPU). Experimental studies have proven the effectiveness and the quality of produced solutions by our method, when compared to existing state-of-the-art approaches.