• Login
    View Item 
    •   YODA Home
    • CSEM Archive
    • Research Publications
    • View Item
    •   YODA Home
    • CSEM Archive
    • Research Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

    Thumbnail
    Author
    Glowacki, P.; Pinheiro, M. A.; Mosinska, A.; Turetken, E.; Lebrecht, D.; Sznitman, R.; et al.
    Metadata
    Show full item record
    Abstract
    We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 20 aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously process all images in a sequence, as opposed to reconstructing structures of interest in each image independently. We formulate the problem as a Quadratic Mixed Integer Program and demonstrate the additional robustness that comes from using all available visual clues at once, instead of working frame by frame. Furthermore, when the linear structures undergo local changes over time, our approach automatically detects them.
    Publication Reference
    Ieee Transactions on Pattern Analysis and Machine Intelligence, vol. 40 (3), pp. 755-761, Mar 2018.
    Year
    2018
    URI
    https://yoda.csem.ch/handle/20.500.12839/220
    Collections
    • Research Publications

    Browse

    All of YODACommunities & CollectionsBy Issue DateAuthorsTitlesResearch AreasBusiness UnitsThis CollectionBy Issue DateAuthorsTitlesResearch AreasBusiness Units

    My Account

    Login

    DSpace software copyright © 2002-2022  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV