An Adaptive Sampling Based Algorithm for Real-Time Volume Rendering System

XIA Fang-huai; SHEN Zhen-kang; TANG Chao-jing; CHEN Hai-xin; Bernd Vettermann; Reinhard M

您当前的位置：

首页 >

文章列表页 >

An Adaptive Sampling Based Algorithm for Real-Time Volume Rendering System

更新时间：2025-07-16

- An Adaptive Sampling Based Algorithm for Real-Time Volume Rendering System
- Acta Electronica Sinica Vol. 30, Issue 3, Pages: 367-371(2002)
- 作者机构：
  
  1. 国防科技大学电子工程学院,湖南,长沙,410073
  2. Lehrstuhl für Informatik V,Universitt Mannheim,B6,26,D,Mannheim,Germany,68131
  3. 国防科技大学电子工程学院湖南长沙,410073
  4. Lehrstuhl für Informatik VUniversitt MannheimB626D- MannheimGermany,68131
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919
- Published：2002
- 稿件说明：
移动端阅览
XIA Fang-huai, SHEN Zhen-kang, TANG Chao-jing, et al. An Adaptive Sampling Based Algorithm for Real-Time Volume Rendering System[J]. Acta Electronica Sinica, 2002, 30(3): 367-371.
DOI：

XIA Fang-huai, SHEN Zhen-kang, TANG Chao-jing, et al. An Adaptive Sampling Based Algorithm for Real-Time Volume Rendering System[J]. Acta Electronica Sinica, 2002, 30(3): 367-371. DOI：

摘要

本文讨论了一种用于体绘制的、支持基于空间跳跃和自适应光线终止等优化算法的高效硬件结构及一种加速半透明物体绘制的新技术.这种硬件结构用于绘制规模为256

体元的数据时可达到70Hz的帧频

但这样的帧频只是在体元的透明度都被置为0(完全透明)或1(完全不透明)的情况下才能取得.引入新的加速技术后

绘制半透明物体的帧频也可接近上述数值.新的加速技术采用自适应采样步长减少体绘制过程中冗余的体元重采样

从而使算法的复杂度和对存储器的带宽要求大大减小.新的加速技术对半透明体数据可取得高达4.7倍的加速比.采用新的加速技术需要在开始交互绘制前对体数据进行距离编码.优化后的距离编码对有8兆体元的体数据的预处理时间仅需要8~30秒.

Abstract

This paper presents a new volume rendering acceleration algorithm for semi-transparent volume objects.The volume rendering pipeline processor VGE provides full support for the popular ray casting acceleration techniques such as adaptive-ray-termination and space-leaping

thus it achieves frame rate up to 70Hz.Nevertheless

such high frame rates can only be achieved in the case that the volume elements are mapped either opaque or transparent.The new acceleration algorithm is designed to relax the dependence of the frame rate on the selected opacity mapping functions.The new algorithm uses an adaptive resampling strategy to replace the equidistant resampling

hence the time complexity is reduced and the memory bandwidth requirement is lowered.Experimental results show that the new algorithm can accelerate the rendering of semi-transparent volume objects by up to 4.7 times.Like space-leaping

the new algorithm needs to encode the adaptive sampling interval in a preprocessing stage.The preprocessing can be implemented in less than 30 seconds for volume data with 8 million voxels by heuristic algorithmic optimizations.

关键词

Keywords

references

Views

1084

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Self-Supervised Monocular Depth Estimation for Traffic Scenes Based on Dual Attention Mechanism and Adaptive Cost Volume

Intermodulation Interference Suppression Based on Adaptive Multiple Linear Kalman Notch

An Adaptive Touchscreen Based Continuous Authentication Scheme for Smart Phones

Adaptive and Iterative Training Algorithm of Least Square Support Vector Machine Regression

Adaptive Immune Clonal Selection Cultural Algorithm

Related Author

WU Gang

LIU Wei

HU Jun

CHENG Shuai

YANG Wen-xing

SUN Ling-kui

ZHENG Jian-yong

WEI Guang-hui

Related Institution

College of Information Science and Engineering,Northeastern University

Reachauto

College of Computer Science and Engineering, Northeastern University

National Key Laboratory on Electromagnetic Environment Effects， Army Engineering University

Henan Key Laboratory of Network Cryptography Technology

⁰