Graphics, Usability and Visualization Lab, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
IEEE Trans Vis Comput Graph. 2011 Oct;17(10):1420-32. doi: 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.
体心立方(BCC)和面心立方(FCC)晶格已被分析证明比传统的笛卡尔立方(CC)晶格更有效率的采样晶格,但它们的视觉可比性还没有估计。两项感知研究(每项有 N = 12 名参与者)比较了从 BCC 和 FCC 晶格渲染的图像与从 CC 晶格渲染的图像的视觉质量。图像是从两个信号生成的:常用的 Marschner-Lobb 合成函数和鱼尾的计算机断层扫描。观察者发现,BCC 和 FCC 可以使用 30-35%更少的样本生成与 CC 相当的视觉质量的图像。对于我们研究中使用的图像,L(2)误差度量与人类观察者的判断高度相关。使用 L(2)度量作为代理,实验结果似乎扩展到广泛的图像和参数选择。