Suppr超能文献

生成一幅能从立体视觉中产生倾斜感知的图像,且无图像线索。

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

作者信息

Galeotti J, Macdonald K, Wang J, Horvath S, Zhang A, Klatzky R

机构信息

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

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

出版信息

Displays. 2017 Jan;46:16-24. doi: 10.1016/j.displa.2016.11.003. Epub 2016 Nov 9.

Abstract

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.

摘要

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。

相似文献

2
Slant Perception Under Stereomicroscopy.体视显微镜下的斜感知。
Hum Factors. 2017 Nov;59(7):1128-1138. doi: 10.1177/0018720817722871. Epub 2017 Aug 3.
9
The contributions of surface features and contour shapes to object slant perception.表面特征和轮廓形状对物体倾斜感知的作用。
Iperception. 2023 Mar 9;14(2):20416695231160402. doi: 10.1177/20416695231160402. eCollection 2023 Mar-Apr.

本文引用的文献

3
Starry night: a texture devoid of depth cues.星夜:一种缺乏深度线索的纹理。
J Opt Soc Am A Opt Image Sci Vis. 2004 Nov;21(11):2049-60. doi: 10.1364/josaa.21.002049.
5
The structure of images.图像的结构。
Biol Cybern. 1984;50(5):363-70. doi: 10.1007/BF00336961.
6
Judgments of slant on the basis of foreshortening.基于缩短现象的倾斜判断
Scand J Psychol. 1970;11(1):31-4. doi: 10.1111/j.1467-9450.1970.tb00714.x.
8
Human discrimination of fractal images.人类对分形图像的辨别。
J Opt Soc Am A. 1990 Jun;7(6):1113-23. doi: 10.1364/josaa.7.001113.
10
A computational theory of human stereo vision.人类立体视觉的计算理论。
Proc R Soc Lond B Biol Sci. 1979 May 23;204(1156):301-28. doi: 10.1098/rspb.1979.0029.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验