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
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