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

Author:

Guo Fengqi12,Zhu Jingping1,Huang Liqing2,Li Haoxiang1,Deng Jinxin1,Zhang Xiangzhe1,Wang Kai3,Liu Hong4,Hou Xun1

Affiliation:

1. Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Information Photonic Technique, Xi’an Jiaotong University, Xi’an 710049, China

2. Non Equilibrium Condensed Matter and Quantum Engineering Laboratory, The Key Laboratory of Ministry of Education, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China

3. School of Physics and Electrical Engineering, Weinan Normal University, Weinan 714000, China

4. State Key Laboratory of Astronautic Dynamics, Xi’an 710043, China

Abstract

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.

Funder

National Natural Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province of China

Weinan Key Research and Development Program Project—Fundamental Research of China

Publisher

MDPI AG

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

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