• DocumentCode
    1496701
  • Title

    Efficient Relighting of RBF-Based Illumination Adjustable Images

  • Author

    Ho, Tze-Yiu ; Leung, Chi Sing ; Lam, Ping-Man ; Wong, Tien-Tsin

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
  • Volume
    20
  • Issue
    12
  • fYear
    2009
  • Firstpage
    1987
  • Lastpage
    1993
  • Abstract
    An illumination adjustable image (IAI) contains a large number of prerecorded images under various light directions. Relighting a scene under complicated lighting conditions can be achieved from the IAI. Using the radial basis function (RBF) approach to represent an IAI is proven to be more efficient than using the spherical harmonic approach. However, to represent high-frequency lighting effects, we need to use many RBFs. Hence, the relighting speed could be very slow. This brief investigates a partial reconstruction scheme for relighting an IAI based on the locality of RBFs. Compared with the conventional RBF and spherical harmonics (SH) approaches, the proposed scheme has a much faster relighting speed under the similar distortion performance.
  • Keywords
    image processing; lighting; radial basis function networks; IAI partial reconstruction scheme; illumination adjustable image; radial basis function; spherical harmonic approach; spherical harmonics approach; Illumination adjustable image (IAI); lightmap; plenoptic illumination function (PIF); radial basis function (RBF); Humans; Image Interpretation, Computer-Assisted; Lighting; Neural Networks (Computer); Optical Processes; Pattern Recognition, Automated;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2009.2032765
  • Filename
    5282524