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The digital Michelangelo project: 3D scanning of large statues

Authors:

Szymon Rusinkiewicz,

Jeremy Ginsberg,

Jonathan Shade,

Duane FulkAuthors Info & Claims

SIGGRAPH '00: Proceedings of the 27th annual conference on Computer graphics and interactive techniques

Pages 131 - 144

https://doi.org/10.1145/344779.344849

Published: 01 July 2000 Publication History

Abstract

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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Published In

cover image ACM Conferences

SIGGRAPH '00: Proceedings of the 27th annual conference on Computer graphics and interactive techniques

July 2000

547 pages

ISBN:1581132085

Chairmen:
Judith R. Brown
Coralville, IA
,
Kurt Akeley

Seminal Graphics Papers: Pushing the Boundaries, Volume 2
August 2023
893 pages
ISBN:9798400708978
DOI:10.1145/3596711
Editor:
Mary C. Whitton
Department of Computer Science, UNC Chapel Hill, USA

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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ACM Press/Addison-Wesley Publishing Co.

United States

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Published: 01 July 2000

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SIGGRAPH '00 Paper Acceptance Rate 59 of 304 submissions, 19%;

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Liu QZheng RLi PLiu CMi DWang JXie W(2024)Intelligent Grinding System for Medium/Thick Plate Welding Seams in Construction Machinery Using 3D Laser Measurement and Deep LearningActuators10.3390/act1310041413:10(414)Online publication date: 14-Oct-2024
https://doi.org/10.3390/act13100414
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https://doi.org/10.1186/s40494-024-01462-4
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