A Modified BRDF Model Based on Cauchy-Lorentz Distribution Theory for Metal and Coating Materials

被引:5
|
作者
Guo, Fengqi [1 ,2 ,3 ]
Zhu, Jingping [1 ,2 ]
Huang, Liqing [3 ]
Li, Haoxiang [1 ,2 ]
Deng, Jinxin [1 ,2 ]
Zhang, Xiangzhe [1 ,2 ]
Wang, Kai [4 ]
Liu, Hong [5 ]
Hou, Xun [1 ,2 ]
机构
[1] Xi An Jiao Tong Univ, Key Lab Phys Elect & Devices, Minist Educ, Xian 710049, Peoples R China
[2] Xi An Jiao Tong Univ, Shaanxi Key Lab Informat Photon Tech, Xian 710049, Peoples R China
[3] Xi An Jiao Tong Univ, Sch Phys, Non Equilibrium Condensed Matter & Quantum Engn La, Key Lab,Minist Educ, Xian 710049, Peoples R China
[4] Weinan Normal Univ, Sch Phys & Elect Engn, Weinan 714000, Peoples R China
[5] State Key Lab Astronaut Dynam, Xian 710043, Peoples R China
基金
中国国家自然科学基金;
关键词
BRDF; surface reflection; metals; coatings; REFLECTANCE; POLARIZATION; SURFACE; UV;
D O I
10.3390/photonics10070773
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper presents a modified Bidirectional Reflectance Distribution Function (BRDF) model based on the Cauchy-Lorentz distribution that accurately characterizes the reflected energy distribution of typical materials, such as metals and coatings in hemispherical space. The proposed model overcomes the problem of large errors in classical models when detecting angles far away from the specular reflection angle by dividing the reflected light into specular reflection, directional diffuse reflection, and ideal diffuse reflection components. The newly added directional diffuse reflection component is represented by the Cauchy-Lorentz distribution, and its parameters are directly obtained from experimental measurement curves without distribution fitting. Surface morphology and model parameters are determined through measurements, and the comparison between simulation and actual measurement results shows that the modified BRDF model is in excellent agreement with the measured data. The proposed model not only achieves higher accuracy and universality, but it also represents a significant advancement in the field of BRDF modeling research. Its contributions have profound implications for advancing the state of the art in BRDF modeling, as well as having a broader impact on computer graphics and computer vision domains.
引用
收藏
页数:14
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