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Depth Guided Detection of Salient Objects

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Computer Vision and Graphics (ICCVG 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

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Abstract

Saliency estimation is a complex problem of computer vision area, which results can enhance many tools or applications. In most of existing solutions, data that comes from stereopsis was not involved. We propose an algorithm, that adds depth information to detection of important objects in the scene. We show and confirm, that the whole problem of salient objects detection can be decomposed into series of simple image processing operations. To verify functioning and performance of the method, we test it on available RGBD datasets.

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Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19 00-665, Warsaw, Poland

    Łukasz Dąbała & Przemysław Rokita

Authors
  1. Łukasz Dąbała
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  2. Przemysław Rokita
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Corresponding author

Correspondence to Łukasz Dąbała .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Dąbała, Ł., Rokita, P. (2016). Depth Guided Detection of Salient Objects. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46417-6

  • Online ISBN: 978-3-319-46418-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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