• DocumentCode
    1368872
  • Title

    Visual Comparability of 3D Regular Sampling and Reconstruction

  • Author

    Meng, Tai ; Entezari, Alireza ; Smith, Benjamin ; Möller, Torsten ; Weiskopf, Daniel ; Kirkpatrick, Arthur E.

  • Author_Institution
    Graphics, Usability & Visualization Lab., Simon Eraser Univ., Burnaby, BC, Canada
  • Volume
    17
  • Issue
    10
  • fYear
    2011
  • Firstpage
    1420
  • Lastpage
    1432
  • Abstract
    The Body-Centered Cubic (BCC) and Face-Centered Cubic (FCC) lattices have been analytically shown to be more efficient sampling lattices than the traditional Cartesian Cubic (CC) lattice, but there has been no estimate of their visual comparability. Two perceptual studies (each with N = 12 participants) compared the visual quality of images rendered from BCC and FCC lattices to images rendered from the CC lattice. Images were generated from two signals: the commonly used Marschner-Lobb synthetic function and a computed tomography scan of a fish tail. Observers found that BCC and FCC could produce images of comparable visual quality to CC, using 30-35 percent fewer samples. For the images used in our studies, the L2 error metric shows high correlation with the judgement of human observers. Using the L2 metric as a proxy, the results of the experiments appear to extend across a wide range of images and parameter choices.
  • Keywords
    image reconstruction; rendering (computer graphics); sampling methods; 3D reconstruction; 3D regular sampling; L2 error metric; Marschner-Lobb synthetic function; body-centered cubic lattice; face-centered cubic lattice; fish tail tomography scan; image rendering; image visual quality; sampling lattice; visual comparability; FCC; Image reconstruction; Image resolution; Lattices; Marine animals; Observers; Visualization; 3D regular sampling and reconstruction; Visual comparability; body-centered cubic (BCC) lattice; cartesian cubic (CC) lattice; face-centered cubic (FCC) lattice.; perceptual quality; Algorithms; Animals; Fishes; Humans; Image Processing, Computer-Assisted; Models, Theoretical; Tail; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2010.234
  • Filename
    5620894