Research on Physical Reliability Rendering Algorithm
Computer graphics real-time rendering technology is developing rapidly. During the development process, the requirements for rendering realism and speed are getting higher. Physics-based rendering (PBR) uses a more physical way to simulate light, which can achieve a more realistic rendering effect a...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10602486/ |
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| author | Xingyu Wang Lingzeng Meng |
| author_facet | Xingyu Wang Lingzeng Meng |
| author_sort | Xingyu Wang |
| collection | DOAJ |
| description | Computer graphics real-time rendering technology is developing rapidly. During the development process, the requirements for rendering realism and speed are getting higher. Physics-based rendering (PBR) uses a more physical way to simulate light, which can achieve a more realistic rendering effect and improve the reliability of rendering algorithm. In the core sampling part of PBR algorithm, a large amount of precomputation is required. To improve the computational efficiency, this paper proposes a precomputation-based Sobel algorithm with uniform spherical sampling method from the diffuse light irradiance map of PBR algorithm, which uses the Sobel algorithm with better uniformity to generate low differential sequences and uniform spherical sampling to obtain the sampling vector. In terms of sampling efficiency, it is better than the traditional sampling method. Compared with the original algorithm, the improved algorithm has basically the same rendering effect under the premise of improving reliability, and can be better used for real-time rendering. |
| format | Article |
| id | doaj-art-4c169c67f8a4492c87926b232f22a999 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4c169c67f8a4492c87926b232f22a9992025-08-20T03:52:43ZengIEEEIEEE Access2169-35362025-01-0113801038011210.1109/ACCESS.2024.343053510602486Research on Physical Reliability Rendering AlgorithmXingyu Wang0https://orcid.org/0000-0001-6219-4515Lingzeng Meng1School of Computer and Information Technology, Beijing Jiaotong University, Weihai, Shandong, ChinaSchool of Physics and Electronic Information, Yantai University, Yantai, Shandong, ChinaComputer graphics real-time rendering technology is developing rapidly. During the development process, the requirements for rendering realism and speed are getting higher. Physics-based rendering (PBR) uses a more physical way to simulate light, which can achieve a more realistic rendering effect and improve the reliability of rendering algorithm. In the core sampling part of PBR algorithm, a large amount of precomputation is required. To improve the computational efficiency, this paper proposes a precomputation-based Sobel algorithm with uniform spherical sampling method from the diffuse light irradiance map of PBR algorithm, which uses the Sobel algorithm with better uniformity to generate low differential sequences and uniform spherical sampling to obtain the sampling vector. In terms of sampling efficiency, it is better than the traditional sampling method. Compared with the original algorithm, the improved algorithm has basically the same rendering effect under the premise of improving reliability, and can be better used for real-time rendering.https://ieeexplore.ieee.org/document/10602486/Reliability rendering algorithmsPBRSobel sequenceuniform spherical samplingdigital twin |
| spellingShingle | Xingyu Wang Lingzeng Meng Research on Physical Reliability Rendering Algorithm IEEE Access Reliability rendering algorithms PBR Sobel sequence uniform spherical sampling digital twin |
| title | Research on Physical Reliability Rendering Algorithm |
| title_full | Research on Physical Reliability Rendering Algorithm |
| title_fullStr | Research on Physical Reliability Rendering Algorithm |
| title_full_unstemmed | Research on Physical Reliability Rendering Algorithm |
| title_short | Research on Physical Reliability Rendering Algorithm |
| title_sort | research on physical reliability rendering algorithm |
| topic | Reliability rendering algorithms PBR Sobel sequence uniform spherical sampling digital twin |
| url | https://ieeexplore.ieee.org/document/10602486/ |
| work_keys_str_mv | AT xingyuwang researchonphysicalreliabilityrenderingalgorithm AT lingzengmeng researchonphysicalreliabilityrenderingalgorithm |