Edge co-occurrences are sufficient to categorize natural versus animal images
نویسندگان
چکیده
منابع مشابه
Edge co-occurrences can account for rapid categorization of natural versus animal images
Making a judgment about the semantic category of a visual scene, such as whether it contains an animal, is typically assumed to involve high-level associative brain areas. Previous explanations require progressively analyzing the scene hierarchically at increasing levels of abstraction, from edge extraction to mid-level object recognition and then object categorization. Here we show that the st...
متن کاملEdge co-occurrences can account for rapid categorization of natural versus animal images- Supplementary Material
A method for measuring the statistics of edge co-occurrences in natural images was demonstrated by Geisler, Perry, Super & Gallogly [21]. Here we extend their method in two important ways. First, we use an over-complete, multi-scale representation of edges, which is more similar to the output of the primary visual cortex. Second, we use a synthesis model for the edge representation, so that the...
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The human brain manages to correctly interpret almost every visual image it receives from the environment. Underlying this ability are contour grouping mechanisms that appropriately link local edge elements into global contours. Although a general view of how the brain achieves effective contour grouping has emerged, there have been a number of different specific proposals and few successes at ...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2014
ISSN: 1534-7362
DOI: 10.1167/14.10.1310