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Dense estimation of surface reflectance properties for merging virtualized objects into real images

机译:将虚拟化物体合并到真实图像中的表面反射率特性的密集估计

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To appropriately reproduce a real object in a mixed environment, it is necessary to estimate reflectance properties of object surfaces. This paper describes a new method of densely estimating non-uniform surface reflectance properties of an object with convex and concave surfaces using registered range and surface color texture images obtained by a laser range finder. The proposed method determines positions of light source to take color images for discriminating diffuse and specular reflection components of surface reflection. The Torrance-Sparrow model is employed to estimate reflectance parameters using color images under multiple illumination conditions. Experiments show the usefulness of the method.
机译:为了在混合环境中适当地再现真实物体,需要估计物体表面的反射特性。本文介绍了一种使用注册范围和由激光测距仪获得的凸形纹理图像密集地估计具有凸和凹面的对象的非均匀表面反射性能的新方法。所提出的方法确定光源的位置,以拍摄彩色图像以区分表面反射的漫射和镜面反射分量。托兰斯麻雀模型用于在多个照明条件下使用彩色图像估计反射参数。实验表明了该方法的有用性。

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