• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations | Disambiguate

DMCA

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

Cached

  • Download as a PDF

Download Links

  • [graphics.stanford.edu]
  • [www.inf.uni-konstanz.de]
  • [www.graphics.stanford.edu]
  • [www-graphics.stanford.edu]
  • [www-hci.stanford.edu]
  • [classes.soe.ucsc.edu]
  • [www.graphics.stanford.edu]
  • [graphics.stanford.edu]
  • [www-hci.stanford.edu]
  • [graphics.stanford.edu]
  • [www.graphics.stanford.edu]
  • [www.cs.virginia.edu]
  • [www.cs.virginia.edu]
  • [grail.cs.washington.edu]
  • [www.cs.virginia.edu]
  • [www.cs.virginia.edu]
  • [www.cs.virginia.edu]
  • [www-graphics.stanford.edu]
  • [www-hci.stanford.edu]
  • [www.cs.virginia.edu]

  • Other Repositories/Bibliography

  • DBLP
  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
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
Citations:488 - 8 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

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}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

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   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University