• DocumentCode
    2736530
  • Title

    Non-uniform light field compression: a geometry-based method for image processing

  • Author

    Wendong, Wang ; Baocai, En ; Kong Ddehui

  • Author_Institution
    Multimedia & Intelligent Software Technol. Lab., Beijing Univ. of Technol., China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1058
  • Abstract
    A geometry-based image compression method-non-uniform light field compression is proposed by combining bi-triangle-based surface light field partition and non-uniform factoring of light field matrix, through which a four orders magnitude compression ratio can be achieved. Starting from dense images captured from vantage points, the codec resample these original data and partition the resampled data over bi-triangle. Then the codec arrange these partitioned light field data into 2D matrices and approximate the matrices through factoring them into non-uniform textures. Finally the codec group these textures into tiles and further compress these textures using ordinary still image compression techniques. Novel image can be rendered in real-time through texture mapping. In this paper we illustrate the compression efficiency and rendering performance through dense images captured in real scene.
  • Keywords
    computational geometry; data compression; image coding; image texture; rendering (computer graphics); 2D matrices; bi-triangle based surface light field partition; codec group; compression efficiency; dense image capture; geometry based image compression method; image processing; light field matrix; magnitude compression ratio; nonuniform factoring; nonuniform light field compression; nonuniform textures; ordinary still image compression techniques; rendering performance; texture mapping; Codecs; Compression algorithms; Geometry; Image coding; Image processing; Laboratories; Principal component analysis; Rendering (computer graphics); Space technology; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281051
  • Filename
    1281051