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• W2076010473 abstract "In this study, a large number of observers (N=201) were asked to segment a collection of outlines derived from line drawings of everyday objects (N=88). This data set was then used as a benchmark to evaluate current models of object segmentation. All of the previously proposed rules of segmentation were found supported in our results. For example, minima of curvature (i.e. locations along the contour where negative curvature takes an extreme value) were often used as segmentation points. The second point of a pair connected by a segmentation line often depended on more global shape characteristics such as proximity, collinearity, symmetry, and elongation. Based on these results, a framework is presented in which all of the previously proposed (and now empirically validated) segmentation rules or rules for part formation are integrated." @default.
• W2076010473 created "2016-06-24" @default.
• W2076010473 creator A5014055174 @default.
• W2076010473 creator A5014569040 @default.
• W2076010473 date "2006-04-01" @default.
• W2076010473 modified "2023-10-16" @default.
• W2076010473 title "Segmentation of object outlines into parts: A large-scale integrative study" @default.
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• W2076010473 doi "https://doi.org/10.1016/j.cognition.2005.03.004" @default.
• W2076010473 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16043166" @default.
• W2076010473 hasPublicationYear "2006" @default.
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