Abstract
In this paper, we propose a method for measuring the reflectance of anisotropic materials using a simple apparatus consisting of two handheld cameras, a small LED light source, a turning table and a chessboard with markers. The system is configured to obtain the different incoming and outgoing light directions, and the brightness of pixels on the surface of the material. The anisotropic Ward BRDF (Bidirectional Reflectance Distribution Function) model is used to approximate the reflectance, and the model parameters are estimated from the incoming and outgoing angles and the brightness of pixels by using a non-linear optimization method. The initial values of the anisotropic direction are given based on the peak specular lobe on the surface, and the best-fitted one is chosen for the anisotropic direction. The optimized parameters show the well-fitted results between the observed brightness and the BRDF model for each RGB channel. It was confirmed that our system was able to measure the reflectance of different isotropic and anisotropic materials.
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Tun, Z.Z., Tsunezaki, S., Komuro, T., Yamamoto, S., Tsumura, N. (2019). Measuring Reflectance of Anisotropic Materials Using Two Handheld Cameras. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2019. Lecture Notes in Computer Science(), vol 11844. Springer, Cham. https://doi.org/10.1007/978-3-030-33720-9_37
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DOI: https://doi.org/10.1007/978-3-030-33720-9_37
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