TY - GEN
T1 - The Digital Michelangelo Project
T2 - 27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2000
AU - Levoy, Marc
AU - Pulli, Kari
AU - Curless, Brian
AU - Rusinkiewicz, Szymon
AU - Koller, David
AU - Pereira, Lucas
AU - Ginzton, Matt
AU - Anderson, Sean
AU - Davis, James
AU - Ginsberg, Jeremy
AU - Shade, Jonathan
AU - Fulk, Duane
N1 - Publisher Copyright:
© ACM 2000.
PY - 2000/7/1
Y1 - 2000/7/1
N2 - 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.
AB - 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.
KW - 3D scanning
KW - cultural heritage
KW - graphics systems
KW - mesh generation
KW - range images
KW - rangefinding
KW - reflectance and shading models
KW - sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=85150742555&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85150742555&partnerID=8YFLogxK
U2 - 10.1145/344779.344849
DO - 10.1145/344779.344849
M3 - Conference contribution
AN - SCOPUS:85150742555
T3 - SIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques
SP - 131
EP - 144
BT - SIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques
PB - Association for Computing Machinery, Inc
Y2 - 23 July 2000 through 28 July 2000
ER -