3D Scanning: Acquiring and Modeling Surface Properties

-----------------------------------------------------------------------提案编号：DMS 9803226 PI: Werner Stuetzle， Brian Curless， Tom Duchamp机构：华盛顿大学项目：3D扫描：获取和建模表面特性摘要：3D扫描是计算机辅助制造的逆过程；给定一个物理对象，如汽车、雕塑、椅子或房子的粘土模型，创建一个捕捉其形状和外观的电子表示。3D扫描在原理上类似于许多其他重要技术（如数字音频、数字摄影、文档扫描和数字视频），这些技术可以快速、准确、廉价地记录物理现实的有用方面。这些技术产生了巨大的影响，主要是因为电子表示可以以原始物理对象无法使用的方式使用。例如，它们可以存储在数据库中，从数据库中搜索和检索，以电子方式远距离传输，在软件中进行操作和编辑，并用作制作电子或物理副本的模板。3D扫描的研究有望对许多领域产生类似的影响，包括联邦战略领域的高性能通信、民用基础设施和制造业，以及虚拟博物馆、娱乐和产品营销。这个研究小组和其他研究小组在捕获、建模和显示几何形状方面取得了重大进展。然而，获取和计算表面属性（如外观）的任务却很少受到关注。本项目的研究工作主要集中在三个方面：(i)纹理，凹凸映射和多分辨率网格的选择性细化，（ii）捕获，建模和显示亮度（颜色作为位置和方向的函数），以及（iii）一般估计表面上的函数。

----------------------------------------------------------------------- Proposal Number: DMS 9803226 PI: Werner Stuetzle, Brian Curless, Tom Duchamp Institution: University of Washington Project: 3D Scanning: Acquiring and Modeling Surface Properties Abstract: 3D scanning is the inverse of computer aided manufacturing: given a physical object, such as a clay model of a car, a sculpture, a chair, or a house, create an electronic representation capturing its shape and appearance. 3D scanning is similar in principle to a number of other important technologies (like digital audio, digital photography, document scanning, and digital video) that quickly, accurately, and cheaply record useful aspects of physical reality. These technologies have had an enormous impact, primarily because electronic representations can be used in ways the original physical objects cannot. For example, they can be stored in, searched for, and retrieved from databases, transmitted electronically over long distances, manipulated and edited in software, and used as templates for making electronic or physical copies. Research in 3D scanning promises to have a similar impact on a number of areas, including the Federal Strategic Areas of high performance communication, civil infrastructure, and manufacturing, as well as virtual museums, entertainment, and product marketing. This research group and others have made significant progress in capturing, modeling, and displaying geometric shape. The task of acquiring and computing surface properties such as appearance, however, has received far less attention. The research effort in this project focuses on three aspects of the problem: (i) texturing, bump mapping and selective refinement of multiresolution meshes, (ii) capturing, modeling and displaying radiance (color as a function of position and direction), and (iii) generally estimating functions over surfaces.