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Zoomorphic Design, Interchangeable Components, and Approximate Dissections: Three New Computational Tools for Open-Ended Geometric Design

机译:人形设计,可互换组件和近似解剖:用于开放式几何设计的三种新计算工具

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摘要

This thesis introduces three new computational tools that employ geometric methods to solve open-ended design problems, an emerging trend in Computer Graphics modeling research.;First, we present a computational tool for the design of zoomorphic objects---man-made objects that possess the form or appearance of an animal. Given a man-made shape with desirable functional qualities and an organic shape with desirable animalistic qualities, our tool geometrically merges the two shapes, incorporating the salient features of the organic shape while preserving the functionality of the man-made shape.;Second, inspired by mix-and-match toys such as Mr. Potato Head, we introduce a computational tool for designing interchangeable components that can form different objects with a coherent appearance. Our tool works by deforming and partitioning a set of initially incompatible input models. A key challenge is the novel geometric problem of minimally deforming the models and partitioning them such that the resulting components connect smoothly.;Third, we present a computational tool for creating geometric dissections, a set of pieces that can be re-arranged to form two distinct shapes. Previous techniques for creating dissections are limited to forming very simple or geometrically ideal shapes, whereas ours supports complex naturalistic shapes.;We experiment with and evaluate the above three tools in a variety of applications.
机译:本文介绍了三种新的计算工具,这些工具采用几何方法来解决开放式设计问题,这是计算机图形学建模研究的一个新兴趋势。首先,我们介绍了一种用于设计人形对象的计算工具-人造对象具有动物的形状或外观。给定具有所需功能品质的人造形状和具有所需动物品质的有机形状,我们的工具将两种形状几何合并,在保留人造形状功能的同时,融合了有机形状的显着特征。通过诸如马铃薯头先生这样的混搭玩具,我们引入了一种计算工具,用于设计可互换的组件,这些组件可以形成具有一致外观的不同对象。我们的工具通过变形和划分一组最初不兼容的输入模型来工作。关键的挑战是新颖的几何问题,即最小化模型的变形并对其进行划分,以使生成的组件平滑地连接。第三,我们提供了一种用于创建几何解剖的计算工具,可以重新布置以形成两个零件的一组零件不同的形状。先前创建解剖的技术仅限于形成非常简单或几何上理想的形状,而我们的技术则支持复杂的自然形状。我们在各种应用中对上述三种工具进行了试验和评估。

著录项

  • 作者

    Duncan, Noah.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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