• DocumentCode
    2398722
  • Title

    A novel approach for depth extraction from single 2D image

  • Author

    Feng, Ranran ; Ji, Jiahuang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    21
  • Lastpage
    25
  • Abstract
    Many methods on extracting 3D information from 2D images have been studied since 1990s, especially the depth information extraction. A novel approach for depth extraction is proposed and implemented in this paper. About 30 images are taken especially for this case study and experiments are conducted on the Stanford Range Image Data. Results show that this approach is generally suitable for most of the images; and performs even better on images with darker background.
  • Keywords
    feature extraction; image processing; 3D information extraction; Stanford range image data; darker background; depth extraction; novel approach; single 2D image; Brightness; Data mining; Estimation; Humans; Image edge detection; Image resolution; Visualization; depth extraction; spidery mesh; vanishing point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223613
  • Filename
    6223613