• DocumentCode
    3691795
  • Title

    [POSTER] Toward Enhancing Robustness of DR System: Ranking Model for Background Inpainting

  • Author

    Mariko Isogawa;Dan Mikami;Kosuke Takahashi;Akira Kojima

  • fYear
    2015
  • Firstpage
    178
  • Lastpage
    179
  • Abstract
    A method for blindly predicting inpainted image quality is proposed for enhancing the robustness of diminished reality (DR), which uses inpainting to remove unwanted objects by replacing them with background textures in real time. The method maps from inpainted image features to subjective image quality scores without the need for reference images. It enables more complex background textures to be applied to DR.
  • Keywords
    "Image quality","Image color analysis","Image edge detection","Training","Estimation","Electronic mail","Real-time systems"
  • Publisher
    ieee
  • Conference_Titel
    Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISMAR.2015.53
  • Filename
    7328093
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3691795