18 December 2003 Estimation of a color reflection model using range image data
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Abstract
A method is proposed for estimating various parameters of a reflection model using both the image data and the range data of an object surface. A unified measuring system, combining a laser range and a multi-band camera system, is made for acquiring the 3D shape data and the spectral reflectance data of the object surface. First, the diffuse reflection component and the specular reflection component at every pixel are obtained using the observed images at two illumination directions and the surface normal vectors calculated from the range data. The spectral reflectance is then estimated from the diffuse reflection component. Next, the extracted specular reflection component is fitted to the specular function of the Torrance-Sparrow model. The performance of the proposed method is examined on an experiment using a painted object in details. We show the estimation results for (1) spectral reflectance, (2) surface roughness, and (3) diffuse and specular intensities. The overall feasibility of the proposed method is confirmed based on computer graphics images created by using the estimated parameters.
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Norihiro Tanaka, Norihiro Tanaka, Shoji Tominaga, Shoji Tominaga, } "Estimation of a color reflection model using range image data", Proc. SPIE 5293, Color Imaging IX: Processing, Hardcopy, and Applications, (18 December 2003); doi: 10.1117/12.527286; https://doi.org/10.1117/12.527286
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