The Digital Michelangelo Project: 3D Scanning of Large Statues

The Digital Michelangelo Project: 3D Scanning of Large Statues (2000)

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by Marc Levoy , Szymon Rusinkiewicz , Brian Curless , Matt Ginzton , Jeremy Ginsberg , Kari Pulli , David Koller , Sean Anderson , Jonathan Shade , Lucas Pereira , James Davis , Duane Fulk

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Datum	Value	Source
TITLE	The Digital Michelangelo Project: 3D Scanning of Large Statues	user correction - Legacy Corrections
AUTHOR NAME	Marc Levoy	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	Szymon Rusinkiewicz	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	Brian Curless	user correction - Legacy Corrections
AUTHOR NAME	Matt Ginzton	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	Jeremy Ginsberg	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	Kari Pulli	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	David Koller	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	Sean Anderson	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	Jonathan Shade	user correction - Legacy Corrections
AUTHOR AFFIL	1; Computer Science Department; 2; Department of Computer Science and Engineering; Stanford University University of Washington	user correction - Legacy Corrections
AUTHOR ADDR	Brian Curless 2	user correction - Legacy Corrections
AUTHOR NAME	Lucas Pereira	user correction - Legacy Corrections
AUTHOR NAME	James Davis	user correction - Legacy Corrections
AUTHOR NAME	Duane Fulk	user correction - Legacy Corrections
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. CR Categories: I.2.10 [Artificial Intelligence]...	user correction - Legacy Corrections
YEAR	2000	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	131--144	INFERENCE
CITATIONS	7 found	ParsCit 1.0