Qi Hu , Jiahao Yang , Jin Duan , Youfei Hao , Huateng Ding , Xinming Zhang , Wenbo Zhu , Weijie Fu
{"title":"离散高斯微表面的三维几何衰减系数","authors":"Qi Hu , Jiahao Yang , Jin Duan , Youfei Hao , Huateng Ding , Xinming Zhang , Wenbo Zhu , Weijie Fu","doi":"10.1016/j.optlaseng.2024.108656","DOIUrl":null,"url":null,"abstract":"<div><div>The geometric attenuation factor plays an important role in the construction of polarized bidirectional reflection distribution function (pBRDF) model, but the traditional geometric attenuation factor theory neglects the influence of microsurface height on the shadowing and masking effects of light. Therefore, we present a geometric attenuation factor related to the height of the discrete Gaussian microsurface based on microfacet theory. We correspond each sampled point on the microsurface to an element in the attenuation matrix, and assign values to the elements of the attenuation matrix by determining whether the sampling points are illuminated or observable. Finally, we can get the numerical solution of the geometric attenuation factor of the 3D discrete Gaussian microsurface by calculating the attenuation matrix. The results show that the presented geometric attenuation factor is reasonable and effective, and can be better applied to pBRDF model to improve the accuracy of pBRDF model.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"184 ","pages":"Article 108656"},"PeriodicalIF":3.5000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D geometric attenuation factor for discrete Gaussian microsurfaces\",\"authors\":\"Qi Hu , Jiahao Yang , Jin Duan , Youfei Hao , Huateng Ding , Xinming Zhang , Wenbo Zhu , Weijie Fu\",\"doi\":\"10.1016/j.optlaseng.2024.108656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The geometric attenuation factor plays an important role in the construction of polarized bidirectional reflection distribution function (pBRDF) model, but the traditional geometric attenuation factor theory neglects the influence of microsurface height on the shadowing and masking effects of light. Therefore, we present a geometric attenuation factor related to the height of the discrete Gaussian microsurface based on microfacet theory. We correspond each sampled point on the microsurface to an element in the attenuation matrix, and assign values to the elements of the attenuation matrix by determining whether the sampling points are illuminated or observable. Finally, we can get the numerical solution of the geometric attenuation factor of the 3D discrete Gaussian microsurface by calculating the attenuation matrix. The results show that the presented geometric attenuation factor is reasonable and effective, and can be better applied to pBRDF model to improve the accuracy of pBRDF model.</div></div>\",\"PeriodicalId\":49719,\"journal\":{\"name\":\"Optics and Lasers in Engineering\",\"volume\":\"184 \",\"pages\":\"Article 108656\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optics and Lasers in Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0143816624006341\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143816624006341","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
3D geometric attenuation factor for discrete Gaussian microsurfaces
The geometric attenuation factor plays an important role in the construction of polarized bidirectional reflection distribution function (pBRDF) model, but the traditional geometric attenuation factor theory neglects the influence of microsurface height on the shadowing and masking effects of light. Therefore, we present a geometric attenuation factor related to the height of the discrete Gaussian microsurface based on microfacet theory. We correspond each sampled point on the microsurface to an element in the attenuation matrix, and assign values to the elements of the attenuation matrix by determining whether the sampling points are illuminated or observable. Finally, we can get the numerical solution of the geometric attenuation factor of the 3D discrete Gaussian microsurface by calculating the attenuation matrix. The results show that the presented geometric attenuation factor is reasonable and effective, and can be better applied to pBRDF model to improve the accuracy of pBRDF model.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques