Efficient Direct Isosurface Rasterization of Scalar Volumes

Author:

Kreskowski A.1ORCID,Rendle G.1ORCID,Froehlich B.1ORCID

Affiliation:

1. Virtual Reality and Visualization Research Group Bauhaus‐Universität Weimar Germany

Abstract

AbstractIn this paper we propose a novel and efficient rasterization‐based approach for direct rendering of isosurfaces. Our method exploits the capabilities of task and mesh shader pipelines to identify subvolumes containing potentially visible isosurface geometry, and to efficiently extract primitives which are consumed on the fly by the rasterizer. As a result, our approach requires little preprocessing and negligible additional memory. Direct isosurface rasterization is competitive in terms of rendering performance when compared with ray‐marching‐based approaches, and significantly outperforms them for increasing resolution in most situations. Since our approach is entirely rasterization based, it affords straightforward integration into existing rendering pipelines, while allowing the use of modern graphics hardware features, such as multi‐view stereo for efficient rendering of stereoscopic image pairs for geometry‐bound applications. Direct isosurface rasterization is suitable for applications where isosurface geometry is highly variable, such as interactive analysis scenarios for static and dynamic data sets that require frequent isovalue adjustment.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Reference38 articles.

1. BolzJ. ChajdasM. FredriksenJ.‐H. GalazinA. GreigA. HaganA. HectorT. HenningN. KessenichJ. KochD. LeeseG. LottesT. NetoD. PetitK. PotterR. RileyC. SimpsonR.:GLSL Extension: KHR_shader_subgroup 2017. URL:https://github.com/KhronosGroup/GLSL/blob/master/extensions/khr/GL_KHR_shader_subgroup.txt. 6

2. State-of-the-Art in GPU-Based Large-Scale Volume Visualization

3. Coherent Hierarchical Culling: Hardware Occlusion Queries Made Useful

4. CunniffR. CraigheadM. GinsburgD. LefebvreK. Licea‐KaneB. TriantosN.:OpenGL Extension: ARB_occlusion_query 2007. URL:https://www.khronos.org/registry/OpenGL/extensions/ARB/ARB_occlusion_query.txt. 3

5. High-speed Marching Cubes using HistoPyramids

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes;2023 IEEE 13th Symposium on Large Data Analysis and Visualization (LDAV);2023-10-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3