The Digital Michelangelo Project: 3D Scanning of Large Statues

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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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488 - 8 self

BibTeX

@INPROCEEDINGS{Levoy00thedigital,
    author = {Marc Levoy and Szymon Rusinkiewicz and Brian Curless and Matt Ginzton and Jeremy Ginsberg and Kari Pulli and David Koller and Sean Anderson and Jonathan Shade and Lucas Pereira and James Davis and Duane Fulk},
    title = {The Digital Michelangelo Project: 3D Scanning of Large Statues},
    booktitle = {},
    year = {2000},
    pages = {131--144}
}

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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]...

Keyphrases

large statue digital michelangelo project ancient rome large fragile object triangulation rangefinder color image giant marble map building interior extant fragment unusual design single dataset laser triangulation scanner well-known figure software system cr category forma urbis romae non-laboratory condition time-of-flight rangefinder artificial intelligence

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