S
Szymon Rusinkiewicz
Researcher at Princeton University
Publications - 145
Citations - 20213
Szymon Rusinkiewicz is an academic researcher from Princeton University. The author has contributed to research in topics: Rendering (computer graphics) & Computer science. The author has an hindex of 57, co-authored 137 publications receiving 18760 citations. Previous affiliations of Szymon Rusinkiewicz include Massachusetts Institute of Technology & IEEE Computer Society.
Papers
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Proceedings ArticleDOI
Efficient variants of the ICP algorithm
Szymon Rusinkiewicz,Marc Levoy +1 more
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.
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
TL;DR: 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.
Proceedings ArticleDOI
Rotation invariant spherical harmonic representation of 3D shape descriptors
TL;DR: The limitations of canonical alignment are described and an alternate method, based on spherical harmonics, for obtaining rotation invariant representations is discussed, which reduces the dimensionality of the descriptor, providing a more compact representation, which in turn makes comparing two models more efficient.
Proceedings ArticleDOI
QSplat: a multiresolution point rendering system for large meshes
Szymon Rusinkiewicz,Marc Levoy +1 more
TL;DR: This work describes a system for representing and progressively displaying meshes that combines a multiresolution hierarchy based on bounding spheres with a rendering system based on points, which is suitable for large data sets.
Proceedings ArticleDOI
Real-time 3D model acquisition
TL;DR: A new 3D model acquisition system that permits the user to rotate an object by hand and see a continuously-updated model as the object is scanned, demonstrating the ability of the prototype to scan objects faster and with greater ease than conventional model acquisition pipelines.