A Compact Anisotropic Representation for Spatially-Varying Surface Appearance

• Main Authors: Chia-Hsin Chien, 簡嘉信
• Other Authors: Yu-Ting Tsai
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/k36d62

碩士 === 元智大學 === 資訊工程學系 === 106 === Modeling surface appearance of real-world objects is one of the most important and challenging issues in computer graphics, because the material of real-world object’s surface is the results of complex interaction between light and objects. Without separating these lighting effects before further processing, it is very hard to model the material by analytic models. Therefore, this thesis is based on the bidirectional reflectance distribution function (BRDF) alignment method, and then separates the BTF into surface meso-scale geometry and main BRDF components of the surface material. We further introduce the concept of sample reliability, which can improve the accuracy of the results via reducing the influence which is caused by poor quality data and missing data from measuring process. Finally, we demonstrate how to transform the BTF into our compact anisotropic representation by using the framework.