提出了基于图像的三维高光物体双向反射分布函数测量方法。其主要思想是首先使用高光检测算法自动把图像中的点归为两类:纯漫反射点和需要分离反射属性的点;然后使用高光分离算法计算第二类点的高光分量与漫反射分量;最后用分离结果分别恢复反射模型中的高光参数与漫反射参数。在三维高光物体上进行了实验,并与直接使用测量数据恢复模型参数的方法进行对比,结果表明该方法能够更好地对三维高光物体的BRDF进行测量。
An effective image-based measurement for the BRDF of objects was proposed with specular reflection. Unlike traditional methods, using measurements to fit BRDF parameters directly, specular and diffuse parameters were fitted respectively. Firstly, the specular components and diffuse components of reflectance were reliably separated. Then, separated components were used to fit the two kinds of parameters independently. Experiments were conducted using the method as well as the traditional ones, and the results indicate that the method has a better performance for the BRDF acquisition of specular objects.