Acquisition, Synthesis and Rendering of Bidirectional Texture Functions
Abstract
One of the main challenges in computer graphics is still the realistic rendering of complex materials such as fabric or skin. The difficulty arises from the complex meso structure and reflectance behavior defining the unique look-and-feel of a material. A wide class of such realistic materials can be described as 2D-texture under varying light- and view direction namely the Bidirectional Texture Function (BTF). Since an easy and general method for modeling BTFs is not available, current research concentrates on image-based methods which rely on measured BTFs (acquired real-world data) in combination with appropriate synthesis methods. Recent results have shown that this approach greatly improves the visual quality of rendered surfaces and therefore the quality of applications such as virtual prototyping. This STAR will present in detail the state-of-the-art techniques for the main tasksinvolved in producing photo-realistic renderings using measured BTFs.
Keywords: color, digitizing and scanning, reflectance, shading, shadowing and texture
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Bibtex
@ARTICLE{mueller-2005-cgf,
author = {M{\"u}ller, Gero and Meseth, Jan and Sattler, Mirko and Sarlette, Ralf and Klein, Reinhard},
pages = {83--109},
title = {Acquisition, Synthesis and Rendering of Bidirectional Texture Functions},
journal = {Computer Graphics Forum},
volume = {24},
number = {1},
year = {2005},
month = mar,
organization = {Eurographics Association},
keywords = {color, digitizing and scanning, reflectance, shading, shadowing and texture},
abstract = {One of the main challenges in computer graphics is still the realistic rendering of complex
materials such as fabric or skin. The difficulty arises from the complex meso structure and
reflectance behavior defining the unique look-and-feel of a material. A wide class of such realistic
materials can be described as 2D-texture under varying light- and view direction namely the
Bidirectional Texture Function (BTF). Since an easy and general method for modeling BTFs is not
available, current research concentrates on image-based methods which rely on measured
BTFs (acquired real-world data) in combination with appropriate synthesis methods. Recent results
have shown that this approach greatly improves the visual quality of rendered surfaces and therefore
the quality of applications such as virtual prototyping. This STAR will present in detail the
state-of-the-art techniques for the main tasksinvolved in producing photo-realistic renderings using
measured BTFs.}
}