Issue No.10 - October (2011 vol.17)
Alireza Entezari , University of Florida, Gainesville
Benjamin Smith , Simon Fraser University, Burnaby
Torsten Möller , Simon Fraser University, Burnaby
Daniel Weiskopf , Universität Stuttgart, Stuttgart
Tai Meng , Simon Fraser University, Burnaby
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.234
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 L_2 error metric shows high correlation with the judgement of human observers. Using the L_2 metric as a proxy, the results of the experiments appear to extend across a wide range of images and parameter choices.
Visual comparability, perceptual quality, 3D regular sampling and reconstruction, cartesian cubic (CC) lattice, body-centered cubic (BCC) lattice, face-centered cubic (FCC) lattice.
Alireza Entezari, Benjamin Smith, Torsten Möller, Daniel Weiskopf, Tai Meng, "Visual Comparability of 3D Regular Sampling and Reconstruction", IEEE Transactions on Visualization & Computer Graphics, vol.17, no. 10, pp. 1420-1432, October 2011, doi:10.1109/TVCG.2010.234