Galeotti J, Macdonald K, Wang J, Horvath S, Zhang A, Klatzky R
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Dept. of Biomedical Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Displays. 2017 Jan;46:16-24. doi: 10.1016/j.displa.2016.11.003. Epub 2016 Nov 9.
This paper describes an algorithm for generating a planar image that when tilted provides stereo cues to slant, without contamination from pictorial gradients. As the stimuli derived from this image are ultimately intended for use in studies of slant perception under magnification, a further requirement is that the generated image be suitable for high-definition printing or display on a monitor. A first stage generates an image consisting of overlapping edges with sufficient density that when zoomed, edges that nearly span the original scale are replaced with newly emergent content that leaves the visible edge statistics unchanged. A second stage reduces intensity clumping while preserving edges by enforcing a broad dynamic range across the image. Spectral analyses demonstrate that the low-frequency content of the resulting image, which would correspond to the pictorial cue of texture gradient changes under slant, (a) has a power fall-off deviating from 1/f noise (to which the visual system is particularly sensitive), and (b) does not offer systematic cues under changes in scale or slant. Two behavioral experiments tested whether the algorithm generates stimuli that offer cues to slant under stereo viewing only, and not when disparities are eliminated. With a particular adjustment of dynamic range (and nearly so with the other version that was tested), participants viewing without stereo cues were essentially unable to discriminate slanted from flat (frontal) stimuli, and when slant was reported, they failed to discriminate its direction. In contrast, non-stereo viewing of a control stimulus with pictorial cues, as well as stereoscopic observation, consistently allowed participants to perceive slant correctly. Experiment 2 further showed that these results generalized across a population of different stimuli from the same generation process and demonstrated that the process did not substitute biased slant cues.
本文描述了一种生成平面图像的算法,该图像倾斜时能提供倾斜的立体线索,且不受图像梯度的干扰。由于从该图像导出的刺激最终旨在用于放大条件下的倾斜感知研究,另一个要求是生成的图像适合高清打印或在显示器上显示。第一阶段生成一个由重叠边缘组成的图像,其密度足够大,缩放时,几乎跨越原始比例的边缘会被新出现的内容取代,而可见边缘统计数据保持不变。第二阶段通过在整个图像上强制实现较宽的动态范围来减少强度聚集,同时保留边缘。频谱分析表明,所得图像的低频内容,对应于倾斜条件下纹理梯度变化的图像线索,(a)功率衰减偏离1/f噪声(视觉系统对其特别敏感),(b)在比例或倾斜变化时不提供系统线索。两项行为实验测试了该算法生成的刺激是否仅在立体观察时提供倾斜线索,而在视差消除时不提供。通过对动态范围进行特定调整(测试的另一个版本情况也大致相同),没有立体线索观看的参与者基本上无法区分倾斜刺激和平坦(正面)刺激,而且当报告有倾斜时,他们也无法区分其方向。相比之下,对具有图像线索的对照刺激进行非立体观察以及立体观察时,参与者始终能够正确感知倾斜。实验2进一步表明,这些结果在同一生成过程的不同刺激群体中具有普遍性,并证明该过程不会替代有偏差的倾斜线索。