On visual quality of optimal 3D sampling and reconstruction
Tai Meng, Benjamin Smith, Alireza Entezari, Arthur E. Kirkpatrick, Daniel Weiskopf, Leila Kalantari, Torsten Möller
Graphics Interface 2007, May 2007, pp. 265--272.
Abstract: This paper presents a user study of the visual quality of an imaging pipeline employing the optimal body-centered cubic (BCC) sampling lattice. We provide perceptual evidence supporting the theoretical expectation that sampling and reconstruction on the BCC lattice offer superior imaging quality over the traditionally popular Cartesian cubic (CC) sampling lattice. We asked 12 participants to choose the better of two images: one image rendered from data sampled on the CC lattice and one image that is rendered from data sampled on the BCC lattice. We used both synthetic and CT volumetric data, and confirm that the theoretical advantages of BCC sampling carry over to the perceived quality of rendered images. Using 25% to 35% fewer samples, BCC sampled data result in images that exhibit comparable visual quality to their CC counterparts.
Article URL: http://doi.acm.org/10.1145/1268517.1268560
BibTeX format:
@inproceedings{Meng:2007:OVQ,
  author = {Tai Meng and Benjamin Smith and Alireza Entezari and Arthur E. Kirkpatrick and Daniel Weiskopf and Leila Kalantari and Torsten Möller},
  title = {On visual quality of optimal 3D sampling and reconstruction},
  booktitle = {Graphics Interface 2007},
  pages = {265--272},
  month = may,
  year = {2007},
}
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