Contour grouping and abstraction using simple part models

Authors:
Pablo Sala;Sven Dickinson
Affiliations:
Department of Computer Science, University of Toronto, Toronto ON, Canada;Department of Computer Science, University of Toronto, Toronto ON, Canada
Venue:
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Year:
2010

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Abstract

We address the problem of contour-based perceptual grouping using a user-defined vocabulary of simple part models. We train a family of classifiers on the vocabulary, and apply them to a region oversegmentation of the input image to detect closed contours that are consistent with some shape in the vocabulary. Given such a set of consistent cycles, they are both abstracted and categorized through a novel application of an active shape model also trained on the vocabulary. From an image of a real object, our framework recovers the projections of the abstract surfaces that comprise an idealized model of the object. We evaluate our framework on a newly constructed dataset annotated with a set of ground truth abstract surfaces.