کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2042841 1073289 2010 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Spatial Heterogeneity in the Perception of Face and Form Attributes
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
پیش نمایش صفحه اول مقاله
Spatial Heterogeneity in the Perception of Face and Form Attributes
چکیده انگلیسی

SummaryThe identity of an object is a fixed property, independent of where it appears, and an effective visual system should capture this invariance [1, 2 and 3]. However, we now report that the perceived gender of a face is strongly biased toward male or female at different locations in the visual field. The spatial pattern of these biases was distinctive and stable for each individual. Identical neutral faces looked different when they were presented simultaneously at locations maximally biased to opposite genders. A similar effect was observed for perceived age of faces. We measured the magnitude of this perceptual heterogeneity for four other visual judgments: perceived aspect ratio, orientation discrimination, spatial-frequency discrimination, and color discrimination. The effect was sizeable for the aspect ratio task but substantially smaller for the other three tasks. We also evaluated perceptual heterogeneity for facial gender and orientation tasks at different spatial scales. Strong heterogeneity was observed even for the orientation task when tested at small scales. We suggest that perceptual heterogeneity is a general property of visual perception and results from undersampling of the visual signal at spatial scales that are small relative to the size of the receptive fields associated with each visual attribute.


► The same face may look male or female depending on its location in the visual field
► The spatial pattern of this effect is distinctive and stable for each individual
► Lack of translation invariance can be observed for other visual attributes as well
► Translation tolerance depends on the spatial scale of processing for each attribute

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 20, Issue 23, 7 December 2010, Pages 2112–2116
نویسندگان
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