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Learning Three-Dimensional Shape Models for Sketch Recognition

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Show simple item record Kaelbling, Leslie P. Lozano-Pérez, Tomás 2004-12-13T06:56:19Z 2004-12-13T06:56:19Z 2005-01
dc.description.abstract Artifacts made by humans, such as items of furniture and houses, exhibit an enormous amount of variability in shape. In this paper, we concentrate on models of the shapes of objects that are made up of fixed collections of sub-parts whose dimensions and spatial arrangement exhibit variation. Our goals are: to learn these models from data and to use them for recognition. Our emphasis is on learning and recognition from three-dimensional data, to test the basic shape-modeling methodology. In this paper we also demonstrate how to use models learned in three dimensions for recognition of two-dimensional sketches of objects. en
dc.description.sponsorship Singapore-MIT Alliance (SMA) en
dc.format.extent 408469 bytes
dc.format.mimetype application/pdf
dc.language.iso en
dc.relation.ispartofseries Computer Science (CS);
dc.subject sketch recognition en
dc.subject object recognition en
dc.subject computer vision en
dc.title Learning Three-Dimensional Shape Models for Sketch Recognition en
dc.type Article en

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