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Aesthetic Perception of Line Patterns: Effect of Edge-Orientation Entropy and Curvilinear Shape

机译:线图案的审美感知:边缘取向熵和曲线形状的影响

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Curvilinearity is a perceptual feature that robustly predicts preference ratings for a variety of visual stimuli. The predictive effect of curved/angular shape overlaps, to a large degree, with regularities in second-order edge-orientation entropy, which captures how independent edge orientations are distributed across an image. For some complex line patterns, edge-orientation entropy is actually a better predictor for what human observers like than curved/angular shape. The present work was designed to disentangle the role of the two features in artificial patterns that consisted of either curved or angular line elements. We systematically varied these patterns across two more dimensions, edge-orientation entropy and the number of lines. Eighty-three participants rated the stimuli along three aesthetic dimensions ( pleasing , harmonious , and complex ). Results showed that curved/angular shape was a stronger predictor for ratings of pleasing and harmonious if the stimuli consisted of a few lines that were clearly discernible. By contrast, edge-orientation entropy was a stronger predictor for the ratings if the stimuli showed many lines, which merged into a texture. No such differences were obtained for complexity ratings. Our findings are in line with results from neurophysiological studies that the processing of shape and texture, respectively, is mediated by different cortical mechanisms.
机译:CurvilineARITY是一种感知特征,其鲁棒地预测各种视觉刺激的偏好额定值。曲线/角形状的预测效果与二阶边缘定向熵的规律重叠,这捕获了如何在图像上分布独立的边缘方向。对于一些复杂的线条图案,边缘定向熵实际上是一种更好的预测因子,对于弯曲/角度形状的人类观察者。本工作旨在解散由弯曲或角线元件组成的人为模式中的两个特征的作用。我们系统地在两个尺寸,边缘方向熵和线路数量上变化这些模式。八十三名参与者沿三个美学维度(令人愉悦,和谐,复杂)评定刺激。结果表明,弯曲/角度形状是一种更强的预测因子,用于令人愉悦和谐的评级,如果刺激由几条线条清晰可辨别。相比之下,如果刺激显示许多线,则边缘定向熵是评级的更强的预测因子,这与纹理合并。没有获得这种复杂性评级的差异。我们的发现符合神经生理学研究的结果,即分别处理形状和质地的处理是由不同的皮质机制介导的。

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