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    Consistent ZoomOut: Efficient Spectral Map Synchronization

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    Thumbnail
    Name:
    CZO_SGP2020.pdf
    Size:
    33.14Mb
    Format:
    PDF
    Description:
    Accepted manuscript
    Embargo End Date:
    2021-08-13
    Download
    Type
    Article
    Authors
    Huang, Ruqi
    Ren, Jing cc
    Wonka, Peter cc
    Ovsjanikov, Maks
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Visual Computing Center (VCC)
    KAUST Grant Number
    CRG-2017-3426
    Date
    2020-08-12
    Online Publication Date
    2020-08-12
    Print Publication Date
    2020-08
    Embargo End Date
    2021-08-13
    Permanent link to this record
    http://hdl.handle.net/10754/664764
    
    Metadata
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    Abstract
    In this paper, we propose a novel method, which we call Consistent ZoomOut, for efficiently refining correspondences among deformable 3D shape collections, while promoting the resulting map consistency. Our formulation is closely related to a recent unidirectional spectral refinement framework, but naturally integrates map consistency constraints into the refinement. Beyond that, we show further that our formulation can be adapted to recover the underlying isometry among near-isometric shape collections with a theoretical guarantee, which is absent in the other spectral map synchronization frameworks. We demonstrate that our method improves the accuracy compared to the competing methods when synchronizing correspondences in both near-isometric and heterogeneous shape collections, but also significantly outperforms the baselines in terms of map consistency.
    Citation
    Huang, R., Ren, J., Wonka, P., & Ovsjanikov, M. (2020). C onsistent Z oom O ut  : Efficient Spectral Map Synchronization. Computer Graphics Forum, 39(5), 265–278. doi:10.1111/cgf.14084
    Sponsors
    The authors thank the anonymous reviewers for their valuable comments. Parts of this work were supported by the KAUST OSR Award No. CRG-2017-3426 and the ERC Starting Grant No. 758800 (EXPROTEA).
    Publisher
    Wiley
    Journal
    Computer Graphics Forum
    DOI
    10.1111/cgf.14084
    Additional Links
    https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14084
    ae974a485f413a2113503eed53cd6c53
    10.1111/cgf.14084
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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