• DocumentCode
    1948595
  • Title

    Superpixel fats for fast foreground extraction

  • Author

    Kang Liu ; Xuelong Li ; Yongsheng Dong

  • Author_Institution
    Center for Opt. IMagery Anal. & Learning (OPTIMAL), Xi´an Inst. of Opt. & Precision Mech., Xi´an, China
  • fYear
    2015
  • fDate
    12-15 July 2015
  • Firstpage
    132
  • Lastpage
    136
  • Abstract
    Fast foreground extraction is an important and challenging problem. Although GrabCut can perform well in foreground extraction, the average accuracy is not satisfactory, and more importantly, its computational cost is large. In this paper, we propose a fast interactive foreground extraction based on superpixel GrabCut and matting. Specifically, we use a superpixel method to process images in order to improve the efficiency of the GrabCut. To obtain a refined mask, we employ the Shared matting method whose trimaps are implemented by our constructed fast and adaptive trimaps (FATs). Experimental results demonstrate the proposed method is more competitive and effective in the visual sense, E-Time and MSE criterions.
  • Keywords
    computer vision; feature extraction; graph theory; image segmentation; E-time; MSE criterion; computational cost; fast and adaptive trimap; fast foreground extraction; interactive foreground extraction; shared matting method; superpixel GrabCut; superpixel fat; superpixel method; Computer vision; Conferences; Fats; Feature extraction; Gravity; Image color analysis; Image segmentation; Computer vision; fast and adaptive trimaps; foreground extraction; image segmentation; superpixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2015.7230377
  • Filename
    7230377