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Generating an image that affords slant perception from stereo, without pictorial cues

机译:生成可从立体图像中获得倾斜感的图像,而无需图像提示

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摘要

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 withour 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.
机译:本文介绍了一种生成平面图像的算法,该算法在倾斜时可提供立体提示以倾斜,而不会受到图形渐变的污染。由于从该图像获得的刺激最终打算用于放大情况下的倾斜感知研究,因此进一步的要求是,所生成的图像适合于高清打印或在监视器上显示。第一阶段生成包含重叠边缘的图像,该重叠边缘具有足够的密度,从而在缩放时,将几乎跨越原始比例的边缘替换为新出现的内容,从而使可见边缘统计信息保持不变。第二阶段通过在整个图像上施加宽广的动态范围,在保留边缘的同时减少了强度聚集。频谱分析表明,所得图像的低频内容与倾斜下纹理梯度变化的图形提示相对应,(a)功率衰减与1 / f噪声(视觉系统相对于1 / f噪声)不同。特别敏感),并且(b)在规模变化或倾斜情况下不提供系统提示。两项行为实验测试了该算法是否生成仅在立体观看时会产生倾斜提示的刺激,而在消除视差后则不会。通过对动态范围进行特定的调整(测试的其他版本几乎如此),观看了立体声提示的参与者基本上无法区分倾斜的刺激(平坦的)和正面刺激,并且当报告倾斜时,他们也无法区分其方向。相比之下,对具有图形提示的控制刺激的非立体观看以及立体观察,始终使参与者能够正确地感知倾斜。实验2进一步表明,这些结果在来自同一生成过程的一组不同刺激中得到了概括,并表明该过程不能替代偏向的倾斜线索。

著录项

  • 来源
    《Displays》 |2017年第1期|16-24|共9页
  • 作者单位

    Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA,Dept. of Biomedical Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA;

    Dept. of Biomedical Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA;

    Dept. of Biomedical Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA;

    Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA;

    Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA;

    Dept. of Psychology and Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Texture gradients; Depth perception; Pictorial cues; Stereopsis; Fractals; Slant perception;

    机译:纹理渐变;深度感知;图案提示;立体视分形;偏见;

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