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A new level-set based algorithm for bimodal depth segmentation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084672" target="_blank" >RIV/61989100:27240/12:86084672 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-642-33140-4_20" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-33140-4_20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-33140-4_20" target="_blank" >10.1007/978-3-642-33140-4_20</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A new level-set based algorithm for bimodal depth segmentation

  • Original language description

    In this paper, a new algorithm for bimodal depth segmentation is presented. The method separates the background and the planar objects of arbitrary shapes lying in a certain height above the background using the information from the stereo image pair (more exactly, the background and the objects may lie on two distinct general planes). The problem is solved as a problem of minimising a functional. A new functional is proposed for this purpose that is based on evaluating the mismatches between the images, which contrasts with the usual approaches that evaluate the matches. We explain the motivation for such an approach. The minimisation is carried out by making use of the Euler-Lagrange equation and the level-set function. The experiments show the promising results on noisy synthetic images as well as on real-life images. An example of the practical application of the method is also presented.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science. Volume 7517

  • ISBN

    978-3-642-33139-8

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    225-236

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Brno

  • Event date

    Sep 4, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article