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Near Their Thresholds for Detection Shapes Are Discriminated by the Angular Separation of Their Corners

机译:接近检测阈值时形状通过其角的角度分隔来区分

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摘要

Observers make sense of scenes by parsing images on the retina into meaningful objects. This ability is retained for line drawings, demonstrating that critical information is concentrated at object boundaries. Information theoretic studies argue for further concentration at points of maximum curvature, or corners, on such boundaries – suggesting that the relative positions of such corners might be important in defining shape. In this study we use patterns subtly deformed from circular, by a sinusoidal modulation of radius, in order to measure threshold sensitivity to shape change. By examining the ability of observers to discriminate between patterns of different frequency and/or number of cycles of modulation in a 2x2 forced choice task we were able to show, psychophysically, that difference in a single cue, the periodicity of the corners (specifically the polar angle between two points of maximum curvature) was sufficient to allow discrimination of two patterns near their thresholds for detection. We conclude that patterns could be considered as labelled for this measure. These results suggest that a small number of such labels might be sufficient to identify an object.
机译:观察者通过将视网膜上的图像解析为有意义的对象来了解场景。线条图保留了此功能,表明关键信息集中在对象边界。信息理论研究认为,应进一步集中在此类边界处的最大曲率或拐角处,这表明此类拐角的相对位置对于定义形状可能很重要。在这项研究中,我们使用通过半径的正弦调制从圆形微妙地变形的图案,以测量对形状变化的阈值敏感性。通过检查观察者在2x2强制选择任务中区分不同频率和/或调制周期数的模式的能力,我们能够从心理上证明一个提示中的差异,转角的周期性(特别是最大曲率的两个点之间的极角)足以区分两个检测阈值附近的图案。我们得出结论,可以将模式视为此措施的标签。这些结果表明,少量此类标签可能足以识别物体。

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