Search Results - "I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Shape Analysis"

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  1. 1

    Non-Rigid Puzzles by Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M. M., Cremers, D.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.08.2016
    Published in Computer graphics forum (01.08.2016)
    “…Shape correspondence is a fundamental problem in computer graphics and vision, with applications in various problems including animation, texture mapping,…”
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    Journal Article
  2. 2

    Robust Region Detection via Consensus Segmentation of Deformable Shapes by Rodolà, E., Bulò, S. Rota, Cremers, D.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.08.2014
    Published in Computer graphics forum (01.08.2014)
    “…We consider the problem of stable region detection and segmentation of deformable shapes. We pursue this goal by determining a consensus segmentation from a…”
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    Journal Article
  3. 3

    Fully Spectral Partial Shape Matching by Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M. M.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.05.2017
    Published in Computer graphics forum (01.05.2017)
    “…We propose an efficient procedure for calculating partial dense intrinsic correspondence between deformable shapes performed entirely in the spectral domain…”
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    Journal Article
  4. 4

    Localized Manifold Harmonics for Spectral Shape Analysis by Melzi, S., Rodolà, E., Castellani, U., Bronstein, M. M.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.09.2018
    Published in Computer graphics forum (01.09.2018)
    “…The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In particular, Laplacian…”
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    Journal Article
  5. 5

    Regularized Pointwise Map Recovery from Functional Correspondence by Rodolà, E., Moeller, M., Cremers, D.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.12.2017
    Published in Computer graphics forum (01.12.2017)
    “…The concept of using functional maps for representing dense correspondences between deformable shapes has proven to be extremely effective in many…”
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    Journal Article