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Conference Paper

A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44889

Lasowski,  Ruxandra
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45604

Tevs,  Art
Computer Graphics, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45695

Wand,  Michael
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Lasowski, R., Tevs, A., Seidel, H.-P., & Wand, M. (2009). A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data. In R. Cipolla, M. Hebert, X. Tang, & N. Yokoya (Eds.), 12th International Conference on Computer Vision (ICCV) (pp. 963-970). Washington, DC, USA: IEEE Computer Society.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-197A-2
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