• 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.

    Wavelet Flow: Optical Flow Guided Wavelet Facial Image Fusion

    Thumbnail
    View/Open
    v38i7pp663-647.pdf (8.140Mb)
    supplementary_materiesnew6-6.pdf (2.809Mb)
    waveletflow-demo2.avi (16.57Mb)
    Date
    2019
    Author
    Ding, Hong
    Yan, Qingan ORCID
    Fu, Gang ORCID
    Xiao, Chunxia ORCID
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    Estimating the correspondence between the images using optical flow is the key component for image fusion, however, computing optical flow between a pair of facial images including backgrounds is challenging due to large differences in illumination, texture, color and background in the images. To improve optical flow results for image fusion, we propose a novel flow estimation method, wavelet flow, which can handle both the face and background in the input images. The key idea is that instead of computing flow directly between the input image pair, we estimate the image flow by incorporating multi-scale image transfer and optical flow guided wavelet fusion. Multi-scale image transfer helps to preserve the background and lighting detail of input, while optical flow guided wavelet fusion produces a series of intermediate images for further fusion quality optimizing. Our approach can significantly improve the performance of the optical flow algorithm and provide more natural fusion results for both faces and backgrounds in the images. We evaluate our method on a variety of datasets to show its high outperformance.
    BibTeX
    @article {10.1111:cgf.13869,
    journal = {Computer Graphics Forum},
    title = {{Wavelet Flow: Optical Flow Guided Wavelet Facial Image Fusion}},
    author = {Ding, Hong and Yan, Qingan and Fu, Gang and Xiao, Chunxia},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13869}
    }
    URI
    https://doi.org/10.1111/cgf.13869
    https://diglib.eg.org:443/handle/10.1111/cgf13869
    Collections
    • 38-Issue 7

    Eurographics Association copyright © 2013 - 2022 
    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

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2022 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA