Application of a computable model of human spatial vision to phase discrimination.
Application of a computable model of human spatial vision to phase discrimination.
复制标题
人类空间视觉的可计算模型在相位辨别中的应用。
DOI：
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发表时间：
1985
期刊：
影响因子：
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通讯作者：
A. Ahumada
中科院分区：
文献类型：
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作者：
K. Nielsen;A. Watson;A. Ahumada
我们已经使用了一个可计算的人类空间视觉模型，使相位歧视实验的预测。这个模型正在开发中，以处理范围广泛的视觉问题，并没有专门制定处理相位歧视。在该模型中，刺激与传感器阵列的互相关产生特征向量，位置不确定的理想观察者对这些特征向量进行操作，以模拟检测和区分实验。在这份报告中的刺激是复合正弦光栅组成的一个基本的和一个更高的频率分量添加在各个阶段。我们比较模型预测与三个关键的结果从文献中：相位歧视的基本，阈值相位差作为基频的函数的对比度的影响，以及作为两个光栅组件的频率比的函数的相位歧视所需的对比度。在前两种情况下，预测抓住了数据的主要特征，尽管数量上的差异仍然存在。在第三种情况下，模型失败，这种失败表明对传感器之间的信息组合有额外的限制。
We have used a computable model of human spatial vision to make predictions for phase-discrimination experiments. This model is being developed to deal with a broad range of problems in vision and was not specifically formulated to deal with phase discrimination. In the model, cross correlation of the stimuli with an array of sensors produces feature vectors that are operated on by a position-uncertain ideal observer to simulate detection and discrimination experiments. In this report the stimuli are compound sinusoidal gratings composed of a fundamental and a higher-frequency component added in various phases. We compare model predictions with three key results from the literature: the effect of the contrast of the fundamental on phase discrimination, threshold phase difference as a function of the fundamental frequency, and the contrast required for phase discrimination as a function of the frequency ratio of the two grating components. In the first two cases, the predictions capture the main features of the data, although quantitative discrepancies remain. In the third case, the model fails, and this failure suggests additional restrictions on the combination of information across sensors.