title: Segmentation of object outlines into parts: a large-scale integrative study.
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.
authors.affiliation: Department of Psychology, University of Leuven, Tiensestraat 102, B-3000 Leuven, Belgium.
authors.forename: Joeri
authors.initials: J
authors.lastname: De Winter
authors.forename: Johan
authors.initials: J
authors.lastname: Wagemans
mesh_terms: D005556:Form Perception; D006801:Humans; D010364:Pattern Recognition, Visual; D012107:Research Design; D013028:Space Perception