Analysis of BRDF/BTDF for the texture representation of woven fabrics based on the impression-evaluation model

Lisa Park, Kensuke Tobitani, Kenji Katahira, N. Nagata
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引用次数: 2

Abstract

To represent the texture of woven fabrics in computer graphics (CG), it is important to reveal the relation between their physical properties and the texture caused by them. For efficient representation of a realistic texture, a new layered model that links visual impressions with physical properties is required. Physical properties of woven fabrics include optical properties. They are reproduced by bidirectional reflectance distribution function (BRDF) and the bidirectional transmittance distribution function (BTDF). However, it is not easy to handle BRDF and BTDF because of the enormity of these data. Therefore, it is necessary to effectively integrate the dimensionality of BRDF and BTDF. In this paper, we propose the impression-evaluation model to link visual impressions with physical properties of woven fabrics. Moreover, to incorporate physical properties into the model, we investigate the main physical factors of reflection and transmission in woven fabrics using the multivariable analysis technique of principal component analysis (PCA) of BRDF and BTDF. As a result, three principal components of BRDF and two principal components of BTDF are obtained. Therefore, it becomes possible for inexpert people to make CG with realistic texture of woven fabrics more intuitively and easily by incorporating physical factors into the impression-evaluation model.
基于印象评价模型的BRDF/BTDF机织物纹理表征分析
为了在计算机图形学中表现机织物的纹理,揭示机织物的物理性质与其所产生的纹理之间的关系是很重要的。为了有效地表示逼真的纹理,需要一种新的分层模型,将视觉印象与物理属性联系起来。机织物的物理性能包括光学性能。它们由双向反射分布函数(BRDF)和双向透射分布函数(BTDF)再现。然而,由于这些数据的巨大,处理BRDF和BTDF并不容易。因此,有必要对BRDF和BTDF的维度进行有效整合。在本文中,我们提出了印象评价模型,将视觉印象与机织物的物理性能联系起来。此外,为了将物理性质纳入模型,我们使用BRDF和BTDF的主成分分析(PCA)的多变量分析技术研究了机织物反射和透射的主要物理因素。得到了BRDF的三个主成分和BTDF的两个主成分。因此,通过将物理因素纳入印象评价模型,使不熟悉的人更直观、更容易地制作出具有机织织物逼真纹理的CG。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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