BRDF Estimation of Structural Color Object by Using Hyper Spectral Image
Abstract
In computer graphics, there are several methods to render thin film interference effects, but it sets the parameters of interference manually. To reconstruct more accurate appearance of the thin film, we need to estimate the BRDF parameters of the thin film, the refractive index and film thickness. In this paper, we propose a novel method for estimating the BRDF of the thin film interference and representing the appearance accurately. Using peak wavelengths which enhance the spectral intensities, we estimate the refractive index and film thickness separately, and then it reduces the computational time of estimation comparied with the steepest descent method. In the experiments, we evaluate the accuracy of estimated parameters and reconstructed BRDF to show the effectiveness of our method.
Cite
Text
Kobayashi et al. "BRDF Estimation of Structural Color Object by Using Hyper Spectral Image." IEEE/CVF International Conference on Computer Vision Workshops, 2013. doi:10.1109/ICCVW.2013.125Markdown
[Kobayashi et al. "BRDF Estimation of Structural Color Object by Using Hyper Spectral Image." IEEE/CVF International Conference on Computer Vision Workshops, 2013.](https://mlanthology.org/iccvw/2013/kobayashi2013iccvw-brdf/) doi:10.1109/ICCVW.2013.125BibTeX
@inproceedings{kobayashi2013iccvw-brdf,
title = {{BRDF Estimation of Structural Color Object by Using Hyper Spectral Image}},
author = {Kobayashi, Yoshie and Morimoto, Tetsuro and Sato, Imari and Mukaigawa, Yasuhiro and Ikeuchi, Katsushi},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2013},
pages = {915-922},
doi = {10.1109/ICCVW.2013.125},
url = {https://mlanthology.org/iccvw/2013/kobayashi2013iccvw-brdf/}
}