Proceedings ArticleDOI
The digital Michelangelo project: 3D scanning of large statues
Marc Levoy,Kari Pulli,Brian Curless,Szymon Rusinkiewicz,David Koller,Lucas Melchiori Pereira,Matthew David Ginzton,Sean E. Anderson,James Davis,Jeremy Ginsberg,Jonathan Shade,Duane Fulk +11 more
- pp 131-144
TLDR
A hardware and software system for digitizing the shape and color of large fragile objects under non-laboratory conditions and the largest single dataset is of the David - 2 billion polygons and 7,000 color images.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 modelsread more
Citations
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MonographDOI
Planning Algorithms: Introductory Material
TL;DR: This coherent and comprehensive book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms, into planning under differential constraints that arise when automating the motions of virtually any mechanical system.
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Computer Vision: Algorithms and Applications
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Efficient variants of the ICP algorithm
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TL;DR: An implementation is demonstrated that is able to align two range images in a few tens of milliseconds, assuming a good initial guess, and has potential application to real-time 3D model acquisition and model-based tracking.
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KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
Shahram Izadi,David Kim,Otmar Hilliges,David Molyneaux,Richard Newcombe,Pushmeet Kohli,Jamie Shotton,Steve Hodges,Dustin Freeman,Andrew J. Davison,Andrew Fitzgibbon +10 more
TL;DR: Novel extensions to the core GPU pipeline demonstrate object segmentation and user interaction directly in front of the sensor, without degrading camera tracking or reconstruction, to enable real-time multi-touch interactions anywhere.
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Screened poisson surface reconstruction
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References
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