• DocumentCode
    2124920
  • Title

    Automatic depth map generation from a single image using segment-adaptive depth merging

  • Author

    Sung In Cho ; Kyoungrok Cho ; Young Hwan Kim

  • Author_Institution
    Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    635
  • Lastpage
    636
  • Abstract
    This paper proposes an advanced approach to learning-based depth map generation for automatic 2D-to-3D conversion, which utilizes 3D histogram-based segmentation for a segment-adaptive depth merging. By using a segment-adaptive depth merging, the proposed method successfully enhances the accuracy of the conventional learning-based depth map generation.
  • Keywords
    image segmentation; three-dimensional displays; 3D histogram-based segmentation; automatic 2D-to-3D conversion; automatic depth map generation; learning-based depth map generation; segment-adaptive depth merging; single image; Benchmark testing; Estimation; Filtering; Image color analysis; Image segmentation; Merging; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2015 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-7542-6
  • Type

    conf

  • DOI
    10.1109/ICCE.2015.7066559
  • Filename
    7066559
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2124920