实用的基于语法的过程建模架构:SIGGRAPH亚洲2015课程笔记

Michael Schwarz, Peter Wonka
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引用次数: 9

摘要

本课程提供了一个全面的,深入的介绍程序建模的架构使用基于语法的方法。它首先介绍了所有必要的基础知识,并详细讨论了语法语言的各种高级特性。随后,上下文敏感性(这对许多实际任务至关重要)以及对它的不同形式的支持被广泛地讨论。然后,课程着眼于几个进一步的高级方面,如本地编辑或基于gpu的变体,最后探索相关的逆过程建模方法。来自大量工作的元素以连贯的、结构化的方式被覆盖和呈现。本课程探讨了解决方法的范围,提供了例子,并指出了局限性;它还强调和调查实际问题案例。本课程对许多不同领域的从业者和研究人员都很有用,从城市规划、地理信息系统(GIS)和虚拟地图到电影和电脑游戏,兴趣范围从内容创作到一般的基于语法的程序方法。他们了解可用的技术库,并获得该领域的概述,包括最近的发展。读者将受益于对分散在许多出版物和系统中的思想、概念和技术的连贯处理。本课程有助于培养对现有解决方案的现实理解,了解现有解决方案的难度和实用性,以及现有方法无法应对的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical grammar-based procedural modeling of architecture: SIGGRAPH Asia 2015 course notes
This course provides a comprehensive, in-depth introduction to procedural modeling of architecture using grammar-based approaches. It first presents all necessary fundamentals and discusses the various advanced features of grammar languages in detail. Subsequently, context sensitivity, which is crucial for many practical tasks, and the different forms of support for it are addressed extensively. The course then looks into several further advanced aspects, such as local edits or GPU-based variants, and finally explores related inverse procedural modeling approaches. Elements from a large body of work are covered and presented in a coherent, structured way. The course explores the range of solution approaches, provides examples, and identifies limitations; it also highlights and investigates practical problem cases. The course is useful for practitioners and researchers from many different domains, ranging from urban planning, geographic information systems (GIS) and virtual maps to movies and computer games, with interests ranging from content creation to grammar-based procedural approaches in general. They learn about the arsenal of available techniques and obtain an overview of the field, including more recent developments. The audience benefits from a coherent treatment of ideas, concepts, and techniques scattered across many (sometimes lesser-known) publications and systems. This course helps in developing a realistic understanding of what can be done with current solutions, how difficult and practical that is, and with which tasks existing approaches cannot cope.
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