Image matting via local tangent space alignment

Junbin Gao

    Research output: Book chapter/Published conference paperConference paperpeer-review

    4 Citations (Scopus)
    25 Downloads (Pure)

    Abstract

    Image matting refers to the problem of accurately extracting foreground objects in images and video. The most recent work [13] in natural image matting relies on the local smoothness assumptions on foreground and background colors on which a cost function is established. The closed-form solution has been derived based on certain degree of user inputs. In this paper, we present a framework of formulating new cost function from the manifold learning perspective based on the so-called Local Tangential Space Alignment algorithm [25] where the local smoothness assumptions have been replaced by implicit manifold structure defined in local color spaces. We illustrate our new algorithm using the standard benchmark images and very comparable results have been obtained.
    Original languageEnglish
    Title of host publicationProceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages614-619
    Number of pages6
    ISBN (Electronic)9781457720062
    DOIs
    Publication statusPublished - 2011
    Event2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Sheraton Noosa Resort & Spa, Noosa, Australia
    Duration: 06 Dec 201108 Dec 2011
    http://dicta2011.aprs.org.au

    Conference

    Conference2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
    Country/TerritoryAustralia
    CityNoosa
    Period06/12/1108/12/11
    OtherDICTA is the premiere conference of the Australian Pattern Recognition Society (APRS) focusing on Image Processing, Computer Vision, Pattern Recognition and related areas. It is a major outlet for published work in these fields and one of the main vehicles for engagement between the Australian research community and industry.
    Internet address

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