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Stereo Matching for Natural Images with Different Contrasts

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00307654" target="_blank" >RIV/68407700:21230/15:00307654 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.isj-imaging.org/event/ICAI2015/ICAI2015_program.html" target="_blank" >http://www.isj-imaging.org/event/ICAI2015/ICAI2015_program.html</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stereo Matching for Natural Images with Different Contrasts

  • Original language description

    In this paper, we propose a robust stereo matching method based on a guided filter using cost function which estimates both similarity of a pixel value and gradient around an image point. We use Moravec's Normalized Cross-Correlation (MNCC) to compute similarity of gradient at corresponding points. We experimentally confirm that the performance of our method for image pairs which have different contrasts is better than in methods based on the guided filter using conventional cost function such as SSD.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F12%2F1578" target="_blank" >GAP103/12/1578: Structural and Semantic Modeling of Architecture as a Digital Image Interpretation Problem</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

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