BibTex
@inproceedings{Meng:2007:10.1145/1268517.1268560,
author = {Meng, Tai and Smith, Benjamin and Entezari, Alireza and Kirkpatrick, Arthur and Weiskopf, Daniel and Kalantari, Leila and M{\"o}ller, Torsten},
title = {On visual quality of optimal 3D sampling and reconstruction},
booktitle = {Proceedings of Graphics Interface 2007},
series = {GI 2007},
year = {2007},
issn = {0713-5424},
isbn = {978-1-56881-337-0},
location = {Montr{\'e}al, Qu{\'e}bec, Canada},
pages = {265--272},
numpages = {8},
doi = {10.1145/1268517.1268560},
acmdoi = {10.1145/1268517.1268560},
publisher = {Canadian Human-Computer Communications Society},
address = {University of Waterloo, Waterloo, Ontario, Canada},
}
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.