{"title":"数字米开朗基罗项目","authors":"M. Levoy","doi":"10.1109/IM.1999.805329","DOIUrl":null,"url":null,"abstract":"Recent improvements in laser rangefinder technology, together with algorithms developed at Stanford for combining multiple range and color images, allow us to reliably and accurately digitize the external shape and reflectance of many physical objects. As an application of this technology, I and a team of 30 faculty, staff, and students from Stanford University and the University of Washington spent the 1998-99 academic year digitizing the sculptures and architecture of Michelangelo. During this time, we scanned 10 statues, including the giant figure of David, and 2 building interiors, including the Medici Chapel, which was designed by Michelangelo. As a side project, we also acquired a high-resolution light field of his statue of Night, in the Medici Chapel. Finally, in another side project, we scanned the 1,163 fragments of the Forma Urbis Romae, the giant marble map of ancient Rome. In the months ahead we will process the data we have collected to create 3D digital models of these objects and, in the case of the Forma Urbis, we will try to assemble the map. The goals of this project are scholarly and educational. Commercial use of the models is not excluded, and many such uses can be imagined, but none is currently planned. I outline the technological underpinnings, logistical challenges, and possible outcomes of this project.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"298","resultStr":"{\"title\":\"The digital Michelangelo project\",\"authors\":\"M. Levoy\",\"doi\":\"10.1109/IM.1999.805329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent improvements in laser rangefinder technology, together with algorithms developed at Stanford for combining multiple range and color images, allow us to reliably and accurately digitize the external shape and reflectance of many physical objects. As an application of this technology, I and a team of 30 faculty, staff, and students from Stanford University and the University of Washington spent the 1998-99 academic year digitizing the sculptures and architecture of Michelangelo. During this time, we scanned 10 statues, including the giant figure of David, and 2 building interiors, including the Medici Chapel, which was designed by Michelangelo. As a side project, we also acquired a high-resolution light field of his statue of Night, in the Medici Chapel. Finally, in another side project, we scanned the 1,163 fragments of the Forma Urbis Romae, the giant marble map of ancient Rome. In the months ahead we will process the data we have collected to create 3D digital models of these objects and, in the case of the Forma Urbis, we will try to assemble the map. The goals of this project are scholarly and educational. Commercial use of the models is not excluded, and many such uses can be imagined, but none is currently planned. I outline the technological underpinnings, logistical challenges, and possible outcomes of this project.\",\"PeriodicalId\":110347,\"journal\":{\"name\":\"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"298\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IM.1999.805329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IM.1999.805329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 298
摘要
激光测距仪技术的最新进步,加上斯坦福大学开发的用于组合多个距离和彩色图像的算法,使我们能够可靠而准确地数字化许多物理物体的外部形状和反射率。作为这项技术的应用,我和一个由斯坦福大学和华盛顿大学的30名教职员工和学生组成的团队在1998-99学年对米开朗基罗的雕塑和建筑进行了数字化。在此期间,我们扫描了10座雕像,包括巨大的大卫雕像,以及2座建筑的内部,包括米开朗基罗设计的美第奇教堂。作为附带项目,我们还获得了他在美第奇教堂的夜之雕像的高分辨率光场。最后,在另一个附带项目中,我们扫描了1163块Forma Urbis Romae的碎片,这是古罗马的巨型大理石地图。在未来的几个月里,我们将处理收集到的数据,创建这些物体的3D数字模型,在Forma Urbis的情况下,我们将尝试组装地图。这个项目的目标是学术和教育。不排除模型的商业用途,并且可以想象许多这样的用途,但目前没有计划。我概述了这个项目的技术基础、后勤挑战和可能的结果。
Recent improvements in laser rangefinder technology, together with algorithms developed at Stanford for combining multiple range and color images, allow us to reliably and accurately digitize the external shape and reflectance of many physical objects. As an application of this technology, I and a team of 30 faculty, staff, and students from Stanford University and the University of Washington spent the 1998-99 academic year digitizing the sculptures and architecture of Michelangelo. During this time, we scanned 10 statues, including the giant figure of David, and 2 building interiors, including the Medici Chapel, which was designed by Michelangelo. As a side project, we also acquired a high-resolution light field of his statue of Night, in the Medici Chapel. Finally, in another side project, we scanned the 1,163 fragments of the Forma Urbis Romae, the giant marble map of ancient Rome. In the months ahead we will process the data we have collected to create 3D digital models of these objects and, in the case of the Forma Urbis, we will try to assemble the map. The goals of this project are scholarly and educational. Commercial use of the models is not excluded, and many such uses can be imagined, but none is currently planned. I outline the technological underpinnings, logistical challenges, and possible outcomes of this project.