Image-Based Reconstruction of Spatially Varying Materials
Image-Based Reconstruction of Spatially Varying Materials
复制标题
基于图像的空间变化材料重建
DOI：
--
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
H. Seidel
中科院分区：
文献类型：
--
作者：
H. Lensch;M. Goesele;J. Kautz;W. Heidrich;H. Seidel
精确的材质属性测量是实现照片级真实感绘制的重要一步。许多真实世界的对象由许多材质组成，即使在单个材质中，这些材质通常也会显示出细微的变化。因此，对于照片级真实感渲染，既需要对象的一般表面属性，也需要对象的空间变化效果。
我们提出了一种基于图像的测量方法，该方法稳健地检测出真实物体的不同材质，并对每个物体拟合平均双向反射分布函数(BRDF)。为了同样模拟局部变化，我们将每个表面点的测量数据投影到由恢复的BRDF形成的基础上，从而产生真正的空间变化的BRDF表示。
可以用相对较少的输入数据来生成真实对象的高质量模型。所生成的模型允许在任意查看和照明条件下进行渲染，并且逼真地再现了原始对象的外观。
The measurement of accurate material properties is an important step towards photorealistic rendering. Many real-world objects are composed of a number of materials that often show subtle changes even within a single material. Thus, for photorealistic rendering both the general surface properties as well as the spatially varying effects of the object are needed.
We present an image-based measuring method that robustly detects the different materials of real objects and fits an average bidirectional reflectance distribution function (BRDF) to each of them. In order to model the local changes as well, we project the measured data for each surface point into a basis formed by the recovered BRDFs leading to a truly spatially varying BRDF representation.
A high quality model of a real object can be generated with relatively few input data. The generated model allows for rendering under arbitrary viewing and lighting conditions and realistically reproduces the appearance of the original object.