A seven-parameter BRDF model for retro-reflection

Jing Zhao; Xingsheng Zhu; Yanqin Gao; Xin Gu

doi:10.1117/12.2692024

6 November 2023 A seven-parameter BRDF model for retro-reflection

Jing Zhao, Xingsheng Zhu, Yanqin Gao, Xin Gu

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292157 (2023) https://doi.org/10.1117/12.2692024
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

A new seven-parameter BRDF model inspired by five-parameter BRDF model and fourteen-parameter BRDF model was developed. A retro-reflection part due to the back-reflected was introduced in the seven-parameter BRDF model. To assess the performance of the seven-parameter BRDF model, we measured BRDF of three kinds of samples and simulated the undetermined parameters of the five-parameter BRDF model and the seven-parameter BRDF model using the hybrid artificial bee colony algorithm, respectively. The experimental results demonstrate that the seven-parameter BRDF model has a good agreement with the retro-reflection peak and outperforms the five-parameter BRDF model in accuracy.

Citation Download Citation

Jing Zhao, Xingsheng Zhu, Yanqin Gao, and Xin Gu "A seven-parameter BRDF model for retro-reflection", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292157 (6 November 2023); https://doi.org/10.1117/12.2692024

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