Estimation of a color reflection model using range image data
Estimation of a color reflection model using range image data
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DOI：
10.1117/12.527286
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发表时间：
2003-12
期刊：
影响因子：
5.5
通讯作者：
N. Tanaka;S. Tominaga
中科院分区：
文献类型：
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作者：
N. Tanaka;S. Tominaga
提出了一种使用物体表面的图像数据和距离数据来估计反射模型的各种参数的方法。将激光测距仪和多波段摄像系统相结合，构成了一个统一的测量系统，用于获取物体表面的三维形貌数据和光谱反射率数据。首先，使用在两个照明方向上的观察图像和从距离数据计算的表面法线矢量来获得每个像素处的漫反射分量和镜面反射分量。然后从漫反射分量估计光谱反射率。接着，将提取的镜面反射分量拟合到Torrance-Sparrow模型的镜面反射函数。所提出的方法的性能进行检查的实验中使用的绘画对象的细节。我们显示了（1）光谱反射率，（2）表面粗糙度，（3）漫反射和镜面反射强度的估计结果。所提出的方法的整体可行性确认的基础上，通过使用估计的参数创建的计算机图形图像。
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.