Visual‑saliency‑driven reuse algorithm of indirect lighting in 3D scene rendering

doi:10.11772/j.issn.1001-9081.2021122181

Journal of Computer Applications ›› 2022, Vol. 42 ›› Issue (11): 3551-3557.DOI: 10.11772/j.issn.1001-9081.2021122181

• ChinaVR 2021 • Previous Articles

Visual‑saliency‑driven reuse algorithm of indirect lighting in 3D scene rendering

Shujie QI, Chunyi CHEN(), Xiaojuan HU, Haiyang YU

School of Computer Science and Technology，Changchun University of Science and Technology，Changchun Jilin 130022，China

Received:2021-12-24 Revised:2022-03-14 Accepted:2022-05-16 Online:2022-05-17 Published:2022-11-10
Contact: Chunyi CHEN
About author:QI Shujie， born in 1996， M. S. candidate. His research interestsinclude realistic 3D graphic drawing.
CHEN Chunyi， born in 1981， Ph. D.， professor. His researchinterests include photorealistic 3D graphic drawing， computer simulation.
HU Xiaojuan， born in 1985， Ph. D.， lecturer. Her researchinterests include machine learning， virtual reality.
YU Haiyang， born in 1989， Ph. D.， lecturer. His research interests include intelligent information processing.
Supported by:
National Natural Science Foundation of China(U19A2063);Science and Technology Development Program of Jilin Province(20180519012JH);Science and Technology Research Project of Education Department of Jilin Province during “the 13th Five?Year Plan”(JJKH20200792KJ)

3D场景渲染的视觉显著性驱动间接光照复用算法

齐淑杰, 陈纯毅(), 胡小娟, 于海洋

长春理工大学计算机科学技术学院，长春 130022

通讯作者: 陈纯毅
作者简介:齐淑杰（1996—），男，山东滨州人，硕士研究生，主要研究方向：真实感三维图形绘制
陈纯毅（1981—），男，重庆人，教授，博士，CCF会员，主要研究方向：真实感三维图形绘制、计算机仿真 chenchunyi@hotmail.com
胡小娟（1985—），女，山东淄博人，讲师，博士，CCF会员，主要研究方向：机器学习、虚拟现实
于海洋（1989—），男，吉林长春人，讲师，博士，主要研究方向：智能信息处理。
基金资助:
国家自然科学基金资助项目(U19A2063);吉林省科技发展计划项目(20180519012JH);吉林省教育厅“十三五”科学技术研究项目(JJKH20200792KJ)

Abstract

Abstract:

In order to accelerate rendering of 3D scenes by path tracing， a visual?saliency?driven reuse algorithm of indirect lighting in 3D scene rendering was proposed. Firstly， according to the characteristics of visual perception that the regions of interest have high saliency， while other regions have low saliency， a 2D saliency map of the scene image was obtained， which consists of color information， edge information， depth information and motion information of the image. Then， the indirect lighting in the high?saliency area was re?rendered， while the indirect lighting of the previous frame was reused in the low?saliency area under certain conditions， thereby accelerating the rendering. Experimental results show that the global lighting effect of the image generated by this method is real， and the rendering speed of the method is improved in several experimental scenes， and the speed can reach up to 5.89 times of that of the high?quality rendering.

Key words: path tracing, indirect lighting, visual perception, saliency map, accelerated rendering

摘要：

为提高路径追踪渲染3D场景的速度，提出3D场景渲染的视觉显著性驱动间接光照复用算法。首先，根据视觉感知中感兴趣区域显著性高、其他区域显著性低的特点得到场景画面的2D显著性图，该显著性图由图像的颜色信息、边缘信息、深度信息以及运动信息构成。然后，重新渲染高显著性区域的间接光照，而低显著性区域则在满足一定条件的情况下复用上一帧的间接光照，达到加速渲染的目的。实验结果表明：该算法生成画面的全局光照效果真实，在多个实验场景下的渲染速度均有提升，速度最高能达到高质量渲染的5.89倍。

关键词: 路径追踪, 间接光照, 视觉感知, 显著性图, 加速渲染

CLC Number:

TP391.41

Shujie QI, Chunyi CHEN, Xiaojuan HU, Haiyang YU. Visual‑saliency‑driven reuse algorithm of indirect lighting in 3D scene rendering[J]. Journal of Computer Applications, 2022, 42(11): 3551-3557.

齐淑杰, 陈纯毅, 胡小娟, 于海洋. 3D场景渲染的视觉显著性驱动间接光照复用算法[J]. 《计算机应用》唯一官方网站, 2022, 42(11): 3551-3557.

Figures/Tables 12

References 18

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场景	PSNR/dB		SSIM
场景	文献［14］算法	本文算法	文献［14］算法	本文算法
一	48.953 4	49.445 0	0.978 9	0.989 5
二	44.639 3	53.307 2	0.967 4	0.991 8
三	43.671 2	52.006 1	0.970 2	0.989 4

场景	PSNR/dB		SSIM
场景	文献［14］算法	本文算法	文献［14］算法	本文算法
一	48.953 4	49.445 0	0.978 9	0.989 5
二	44.639 3	53.307 2	0.967 4	0.991 8
三	43.671 2	52.006 1	0.970 2	0.989 4

场景	构造显著性图的时间/ms	生成的三角形面片数	绘制时间/ms
场景	构造显著性图的时间/ms	生成的三角形面片数	高质量渲染	文献［14］算法	本文算法
一	7.8	17	10 892	3 879	1 849
二	7.9	15 171	45 054	28 898	14 575
三	8.1	8 185	21 463	9 386	6 121

场景	构造显著性图的时间/ms	生成的三角形面片数	绘制时间/ms
场景	构造显著性图的时间/ms	生成的三角形面片数	高质量渲染	文献［14］算法	本文算法
一	7.8	17	10 892	3 879	1 849
二	7.9	15 171	45 054	28 898	14 575
三	8.1	8 185	21 463	9 386	6 121

场景	每个像素分别发射的光线数
场景	16	64	256	1 024
一	3.071 4	4.876 7	5.842 1	5.890 0
二	2.829 6	3.055 6	3.333 3	3.091 2
三	2.865 9	3.326 1	3.426 3	3.506 1

Visual‑saliency‑driven reuse algorithm of indirect lighting in 3D scene rendering

3D场景渲染的视觉显著性驱动间接光照复用算法

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References 18

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