数字米开朗基罗项目:大型雕像的3D扫描

M. Levoy, K. Pulli, B. Curless, S. Rusinkiewicz, David Koller, Lucas Pereira, Matt Ginzton, Sean E. Anderson, James Davis, Jeremy Ginsberg, Jonathan Shade, Duane Fulk
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引用次数: 1815

摘要

我们描述了一种在非实验室条件下对大型易碎物体的形状和颜色进行数字化的硬件和软件系统。我们的系统采用激光三角测距仪、激光飞行时间测距仪、数码相机和一套软件来获取、对准、合并和查看扫描数据。作为这个系统的演示,我们数字化了米开朗基罗的10座雕像,包括著名的大卫雕像,两座建筑内部,以及1163个现存的Forma Urbis Romae碎片,一个巨大的古罗马大理石地图。我们最大的单一数据集是大卫- 20亿个多边形和7000张彩色图像。在本文中,我们将讨论我们在构建该系统时面临的挑战、我们采用的解决方案以及我们吸取的教训。我们特别关注激光三角测量扫描仪的不同寻常的设计,以及我们为处理非常大的扫描模型而开发的算法和软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The digital Michelangelo project: 3D scanning of large statues
We describe a hardware and software system for digitizing the shape and color of large fragile objects under non-laboratory conditions. Our system employs laser triangulation rangefinders, laser time-of-flight rangefinders, digital still cameras, and a suite of software for acquiring, aligning, merging, and viewing scanned data. As a demonstration of this system, we digitized 10 statues by Michelangelo, including the well-known figure of David, two building interiors, and all 1,163 extant fragments of the Forma Urbis Romae, a giant marble map of ancient Rome. Our largest single dataset is of the David - 2 billion polygons and 7,000 color images. In this paper, we discuss the challenges we faced in building this system, the solutions we employed, and the lessons we learned. We focus in particular on the unusual design of our laser triangulation scanner and on the algorithms and software we developed for handling very large scanned models.
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