几何与反射率获取进展(课程笔记)

Michael Weinmann, R. Klein
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引用次数: 52

摘要

许多应用对数字3D内容的需求,如视频游戏、电影、虚拟原型、广告、虚拟现实、增强现实甚至文化遗产对象的数字保存,导致需要高效、准确的几何和反射率自动采集系统。这个简短的课程揭示了采集生态系统的三个最重要的组成部分,包括精确的几何和反射率采集方法,以及有效的采集管道策略,以满足行业对3D内容大规模数字化的需求。在这种情况下,本课程提供了一个全面的标准方法,以获取几何和反射率的表面与不同类型的反射率行为,从漫射在不透明的镜面,甚至半透明和透明的表面。根据设计,这些标准采集技术仅适用于有限范围的表面材料,因此,如果没有关于表面反射行为的先验信息,则不适用。为此,我们还讨论了在结束语范围内实现高效、全自动采集的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in geometry and reflectance acquisition (course notes)
The demands for digital 3D content for numerous applications such as video games, movies, virtual prototyping, advertisement, virtual reality, augmented reality or even digital preservation of cultural heritage objects has led to a need for efficient and accurate automatic acquisition systems for both geometry and reflectance. This short course sheds light on the acquisition ecosystem with three of its most important components that consist in accurate acquisition methods for geometry and reflectance as well as strategies towards an efficient acquisition pipeline to fulfill the demands of industry with respect to mass digitization of 3D contents. In this context, this course provides a thorough overview of the standard methods for the acquisition of both geometry and reflectance of surfaces with different types of reflectance behavior ranging from diffuse over opaque to specular surfaces or even translucent and transparent surfaces. These standard acquisition techniques are - by design - only well-suited for a limited range of surface materials and, hence, not adequate if no prior information with respect to the surface reflectance behavior is available. For this reason, we also discuss recent advances towards an efficient, fully automatic acquisition in the scope of the concluding remarks.
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