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Conference Paper

Correspondences of Persistent Feature Points on Near-isometric Surfaces

MPS-Authors
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Yang,  Ying
Computer Graphics, MPI for Informatics, Max Planck Society;

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Günther,  David
Computer Graphics, MPI for Informatics, Max Planck Society;

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Wuhrer,  Stefanie
Computer Graphics, MPI for Informatics, Max Planck Society;

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

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Weinkauf,  Tino
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Yang, Y., Günther, D., Wuhrer, S., Brunton, A., Ivrissimtzis, I., Seidel, H.-P., et al. (2012). Correspondences of Persistent Feature Points on Near-isometric Surfaces. In A. Fusiello, V. Murino, & R. Cucchiara (Eds.), Computer Vision - ECCV 2012 (pp. 102-112). Berlin: Springer.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0015-0DFB-2
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