• DocumentCode
    678619
  • Title

    Depth-based segmentation — A review

  • Author

    Gupta, Neeraj ; Weipeng Xu ; Kamboj, Divya

  • Author_Institution
    Comput. Sci. Dept., Amity Univ., Noida, India
  • fYear
    2013
  • fDate
    4-6 July 2013
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Computer Vision describes some of its typical assignments as motion analysis, scene reconstruction, image restoration and image segmentation. Enormous tasks could be demonstrated while segmenting an image. The goal might be stated as, “Extraction of object from background” or “Analysing sharp edges in the image”. The goal could be any, but the initial information needed to visualize the difference between different segments of image, should be accurately picked and evaluated. This paper talks about such an initial information i.e. depth value of image pixels and gives an insight of its importance in the field of Image segmentation. Moreover, the paper also describes some of the typical techniques to incur depth information in the process of segmentation, solely or combined with other pixel values like color.
  • Keywords
    computer vision; image segmentation; computer vision; depth based segmentation; depth information; image pixel depth value; image segmentation; initial information; object extraction; Bayes methods; Image color analysis; Image edge detection; Image segmentation; Labeling; Merging; Motion segmentation; CRF (Conditional Random Field); MRF (Markov Random Field); RGB-D segmentation; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
  • Conference_Location
    Tiruchengode
  • Print_ISBN
    978-1-4799-3925-1
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2013.6726815
  • Filename
    6726815