• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 38 (2019)
    • 38-Issue 7
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 38 (2019)
    • 38-Issue 7
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Pyramid Multi-View Stereo with Local Consistency

    Thumbnail
    View/Open
    v38i7pp335-346.pdf (18.85Mb)
    Date
    2019
    Author
    Liao, Jie ORCID
    Fu, Yanping ORCID
    Yan, Qingan ORCID
    Xiao, Chunxia ORCID
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    In this paper, we propose a PatchMatch-based Multi-View Stereo (MVS) algorithm which can efficiently estimate geometry for the textureless area. Conventional PatchMatch-based MVS algorithms estimate depth and normal hypotheses mainly by optimizing photometric consistency metrics between patch in the reference image and its projection on other images. The photometric consistency works well in textured regions but can not discriminate textureless regions, which makes geometry estimation for textureless regions hard work. To address this issue, we introduce the local consistency. Based on the assumption that neighboring pixels with similar colors likely belong to the same surface and share approximate depth-normal values, local consistency guides the depth and normal estimation with geometry from neighboring pixels with similar colors. To fasten the convergence of pixelwise local consistency across the image, we further introduce a pyramid architecture similar to previous work which can also provide coarse estimation at upper levels. We validate the effectiveness of our method on the ETH3D benchmark and Tanks and Temples benchmark. Results show that our method outperforms the state-of-the-art.
    BibTeX
    @article {10.1111:cgf.13841,
    journal = {Computer Graphics Forum},
    title = {{Pyramid Multi-View Stereo with Local Consistency}},
    author = {Liao, Jie and Fu, Yanping and Yan, Qingan and Xiao, Chunxia},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13841}
    }
    URI
    https://doi.org/10.1111/cgf.13841
    https://diglib.eg.org:443/handle/10.1111/cgf13841
    Collections
    • 38-Issue 7

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA