Reflection components decomposition of textured surfaces using linear basis functions
Reflection components decomposition of textured surfaces using linear basis functions
复制标题
DOI：
10.1109/cvpr.2005.298
复制
发表时间：
2005-06
期刊：
影响因子：
--
通讯作者：
R. Tan;K. Ikeuchi
中科院分区：
文献类型：
--
作者：
R. Tan;K. Ikeuchi
现有的大多数使用单色图像的反射分量分解方法都需要进行颜色分割。很少有采用局部操作的方法能够避免这一要求;然而，它们通常会遇到颜色不连续的问题。在本文中，我们介绍了一种分解方法，使用一个单一的颜色图像，不需要（全球）的颜色分割或（本地）的颜色不连续检测。该方法主要利用输入图像及其无镜面反射图像的反射率基函数的系数。结合这些系数使我们能够找到每个表面颜色的镜面像素的漫射系数。因此，分解成为一个适定的问题，并能够在封闭形式的方程求解。对真实的复杂纹理图像的实验结果表明了该方法的有效性。
Most existing methods of reflection components decomposition using a single color image require color segmentation. Few methods that employ local operations are able to avoid the requirement; however, they usually suffer from color discontinuity problems. In this paper, we introduce a decomposition method using a single color image that does not require (global) color segmentation or (local) color discontinuity detection. The method principally utilizes the coefficients of the reflectance basis functions of input image and its specular-free image. Combining those coefficients enables us to find the diffuse coefficients of the specular pixels for every surface color. As a result, the decomposition becomes a well-posed problem and able to be solved in closed-form equations. Our experimental results on real complex textured images show the effectiveness of our proposed method.