• DocumentCode
    2506449
  • Title

    Texture mapping using clustering techniques

  • Author

    Demirer, M. ; Grimsdale, R.L.

  • Author_Institution
    Sch. of Eng., Sussex Univ., Brighton, UK
  • fYear
    1994
  • fDate
    12-14 Apr 1994
  • Firstpage
    355
  • Abstract
    Texture mapping, in general, presents two major problems, namely, geometrical transformations and anti-aliasing. The former includes point to point spatial transformations to perform the process and the latter involves a proper filtering to provide accuracy. Since direct convolution methods are slow, a filter using pre-processing techniques, in which computational cost does not grow in proportion to mapped texture area, is proposed to speed up the process. It is also a requirement that it should be space variant due to any arbitrary shape of pre-image of a pixel in texture space. The authors discuss perspective mapping of a plane to another plane, which is the most fundamental situation, and presented a type of space variant filtering technique which permits constant time filtering
  • Keywords
    antialiasing; filtering theory; image texture; antialiasing; clustering techniques; computational cost; constant time filtering; geometrical transformations; perspective mapping; point to point spatial transformations; preprocessing techniques; space variant filtering; texture mapping; texture space; Computational efficiency; Convolution; Filtering; Filters; Frequency; Image sampling; Kernel; Pixel; Sampling methods; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean
  • Conference_Location
    Antalya
  • Print_ISBN
    0-7803-1772-6
  • Type

    conf

  • DOI
    10.1109/MELCON.1994.381080
  • Filename
    381080