Ray‐aligned Occupancy Map Array for Fast Approximate Ray Tracing

Author:

Zeng Z.1ORCID,Xu Z.2ORCID,Wang L.2ORCID,Wu L.3ORCID,Yan L.1ORCID

Affiliation:

1. University of California Santa Barbara USA

2. Shandong University China

3. NVIDIA USA

Abstract

AbstractWe present a new software ray tracing solution that efficiently computes visibilities in dynamic scenes. We first introduce a novel scene representation: ray‐aligned occupancy map array (ROMA) that is generated by rasterizing the dynamic scene once per frame. Our key contribution is a fast and low‐divergence tracing method computing visibilities in constant time, without constructing and traversing the traditional intersection acceleration data structures such as BVH. To further improve accuracy and alleviate aliasing, we use a spatiotemporal scheme to stochastically distribute the candidate ray samples. We demonstrate the practicality of our method by integrating it into a modern real‐time renderer and showing better performance compared to existing techniques based on distance fields (DFs). Our method is free of the typical artifacts caused by incomplete scene information, and is about 2.5×–10× faster than generating and tracing DFs at the same resolution and equal storage.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Reference44 articles.

1. GPU‐based clay simulation and ray‐tracing tech in Claybook;Aaltonen Sebastian;San Francisco, CA,2018

2. FLIP: A Difference Evaluator for Alternating Images.;Andersson Pontus;Proc. ACM Comput. Graph. Interact. Tech.,2020

3. A fast voxel traversal algorithm for ray tracing.;Amanatides John;Eurographics.,1987

4. Bavoil LouisandMyers Kevin. “Deferred rendering using a stencil routed k‐buffer”.ShaderX6: Advanced Rendering Techniques(2008) 189–1983.

5. Screen space ambient occlusion;Bavoil Louis;NVIDIA developer information,2008

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