影视LED光源光强分布测定及其在游戏引擎中的仿真研究

doi:10.16182/j.issn1004731x.joss.24-FZ0772

摘要/Abstract

摘要：

为解决使用游戏引擎进行影视灯光设计和布光预演时，虚拟环境中光源光度学特性与真实的灯光不匹配的问题，结合已有的灯具光强分布测试系统，提出针对影视LED光源光强分布的测试方案；基于实测数据，在虚幻引擎5中构建了一套光源校准流程，以在虚拟环境中准确模拟光源的光度学特性。仿真结果表明：该校准流程能较准确且高效地在UE5中还原光源的光强分布。为影视工作者在UE5中进行灯光虚拟仿真提供优化方案，为影视虚拟制作中的照明匹配提供新的理论支撑和技术支持。

关键词: 灯光仿真, 游戏引擎, 影视LED光源, 光强分布, 虚拟仿真

Abstract:

To address the issues of mismatched photometric characteristics between light sources in virtual environments and real-world lighting during film and television lighting design and lighting preview using game engines, a testing solution for measuring the luminous intensity distribution for film and television LED light sources was proposed, building upon existing luminaire light intensity distribution testing systems. Based on the obtained data, a light source calibration process was constructed in the UE5 to correctly simulate the photometric characteristics of light sources in the virtual environment. Simulation results have shown that the calibration process can accurately and efficiently reproduce the luminous intensity distribution in UE5. This study proposes an optimized solution for lighting virtual simulation in UE5, providing new theoretical and technical support for lighting matching in virtual production of film and television.

Key words: lighting simulation, game engine, film and television LED light source, luminous intensity distribution, virtual simulation

中图分类号:

TP391.9

索婧怡,卢柏宏,屈澈 . 影视LED光源光强分布测定及其在游戏引擎中的仿真研究[J]. 系统仿真学报, 2025, 37(12): 3140-3151.

Suo Jingyi,Lu Baihong,Qu Che . Measurement of Luminous Intensity Distribution for Film and Television LED Light Sources and Its Simulation Research in Game Engines[J]. Journal of System Simulation, 2025, 37(12): 3140-3151.

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参考文献 20

[1]	Box H C. Set Lighting Technician's Handbook: Film Lighting Equipment, Practice, and Electrical Distribution[M]. 5th ed. London: Routledge, 2020.
[2]	李逸, 丁刚毅. 关于电影实时预演仿真系统优化设计研究[J]. 计算机仿真, 2019, 36(6): 326-331.
	Li Yi, Ding Gangyi. Research on Optimal Designing Real-time Pre-visualization Simulation System for Movies[J]. Computer Simulation, 2019, 36(6): 326-331.
[3]	卢柏宏, 赵建军, 刘戈三. 电影虚拟摄影半实物仿真的研究与实现[J]. 系统仿真学报, 2021, 33(8): 1938-1946.
	Lu Baihong, Zhao Jianjun, Liu Gesan. The Research and Implementation of Film Virtual Photography Harware-in-the-loop Simulation[J]. Journal of System Simulation, 2021, 33(8): 1938-1946.
[4]	Scorpio Michelangelo, Laffi Roberta, Teimoorzadeh Ainoor, et al. A Calibration Methodology for Light Sources Aimed at Using Immersive Virtual Reality Game Engine as a Tool for Lighting Design in Buildings[J]. Journal of Building Engineering, 2022, 48: 103998.
[5]	Skorobogatova Anna. Lumen: Real-time Global Illumination in Unreal Engine 5[C]//ACM SIGGRAPH., Brno, Masaryk University, 2022: 23-43.
[6]	卢柏宏, 陈军, 赵建军. 基于LED背景墙的电影虚拟化制作中的照明技术研究[J]. 现代电影技术, 2022(7): 10-19.
	Lu Baihong, Chen Jun, Zhao Jianjun. Research on Lighting Technology in LED-wall-based Film Virtual Production[J]. Advanced Motion Picture Technology, 2022(7): 10-19.
[7]	米春林, 王梓锋. 基于LED背景墙虚拟拍摄中的光线匹配技术研究[J]. 现代电影技术, 2022(9): 26-32.
	Mi Chunlin, Wang Zifeng. Research on Lighting Matching Technologies in Virtual Production based on LED Walls[J]. Advanced Motion Picture Technology, 2022(9): 26-32.
[8]	方捷新, 李娜. LED虚拟拍摄系统中的照明控制和照明匹配方法研究[J]. 现代电影技术, 2022(12): 18-27.
	Fang Jiexin, Li Na. Research on Lighting Control and Lighting Matching Methods in LED Virtual Production System[J]. Advanced Motion Picture Technology, 2022(12): 18-27.
[9]	Gadia Davide, Lombardo Vincenzo, Maggiorini Dario, et al. Implementing Many-lights Rendering with IES-based Lights[J]. Applied Sciences, 2024, 14(3): 1022.
[10]	Luo Xinquan, Han Zhengdong, Huang Xiangjie. A Noncustom Virtual Simulation System for Performing Arts[C]//2021 International Conference on Culture-oriented Science & Technology (ICCST). Piscataway: IEEE, 2021: 172-176.
[11]	Hernandez-Ibáñez Luis, Barneche-Naya Viviana. Real-time Lighting Analysis for Design and Education Using a Game Engine[C]//HCI International 2023 – Late Breaking Papers: 25th International Conference on Human-Computer Interaction, HCII 2023. Berlin: Springer-Verlag, 2023: 70-81.
[12]	Meines S. LuminaCity: A Real-time Daylight Analysis Tool for Architectural and Urban Development Using Unreal Engine[D]. Delft: Delft University of Technology, 2023.
[13]	Gargiulo Martina, Carleo Davide, Ciampi Giovanni, et al. Assessment of the Historical Gardens and Buildings Lighting Interaction through Virtual Reality: The Case of Casita de Arriba de El Escorial[J]. Buildings, 2024, 14(1): 273.
[14]	Houel Nicolas. Atmos, a Professionnal Tool for Real-time Atmospheres Simulation[C]//2023 IEEE Sustainable Smart Lighting World Conference & Expo (LS18). Piscataway: IEEE, 2023: 1-5.
[15]	Masullo Massimiliano, Cioffi Federico Cioffi, Li Jian, et al. An Investigation of the Influence of the Night Lighting in a Urban Park on Individuals' Emotions[J]. Sustainability, 2022, 14(14): 8556.
[16]	Wang Haoran, Ki Ung Bak. Application of Cine Tracer to Draw Storyboards[J]. TECHART: Journal of Arts and Imaging Science, 2020, 7(2): 21-24.
[17]	胡博. 远场和近场分布光度测试系统的比较分析[D]. 大连: 大连工业大学, 2019.
	Hu Bo. Comparative Analysis of Far Field and Near Field Photometric Measurement Systems[D]. Dalian: Dalian Polytechnic University, 2019.
[18]	国家市场监督管理总局, 国家标准化管理委员会. LED灯、LED灯具和LED模块的测试方法: [S]. 北京: 中国标准出版社, 2020: 18-26.
	State Administration for Market Regulation, National Standardization Administration. Test Method for LED Lamps, LED Luminaires and LED Modules: [S]. Beijing: Standards Press of China, 2020: 18-26.
[19]	中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 绝对发光强度分布的测量方法: [S]. 北京: 中国标准出版社, 2011: 3-22.
	General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. The Measurement of Absolute Luminous Intensity Distributions: [S]. Beijing: Standards Press of China, 2011: 3-22.
[20]	CIE. Test Cases to Assess the Accuracy of Lighting Computer Programs: [S]. Vienna: CIE, 2006: 1-9.

数据来源	色温/K	最大光强/cd	光束角/(˚)	场角/(˚)
官方数据	3 200	6 032.4	103.8	158.6
官方数据	5 600	7 037.8	103.8	158.0
测试数据	3 200	6 165.4	102.2	158.4
测试数据	5 600	7 245.1	102.2	158.4

灯具	色温/K	最大光强/cd	光束角/(˚)	场角/(˚)
Dyno 650C	3 200	16 155.3	94.0	150.2
Dyno 650C	5 600	17 175.1	94.2	150.2
Evoke 900C	3 200	88 135.6	38.6	51.6
	5 600	91 413.7	38.6	51.6
	7 500	90 597.0	38.6	51.4

灯具	色温/K	标定后光强值/cd
S30-C	3 200	3 469
S30-C	5 600	2 842
Dyno 650C	3 200	9 982
Dyno 650C	5 600	11 230
Evoke 900C	3 200	101 500
	5 600	108 000
	7 500	106 500