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dc.contributor.authorZamora, Shaneen_US
dc.contributor.authorSherwood, Timothyen_US
dc.contributor.editorMarc Alexa and Ellen Yi-Luen Doen_US
dc.date.accessioned2014-01-28T18:11:46Z
dc.date.available2014-01-28T18:11:46Z
dc.date.issued2010en_US
dc.identifier.isbn978-3-905674-25-5en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SBM/SBM10/119-126en_US
dc.description.abstractWe present a new recognition system for detecting general articulated skeletal figures in sketch-based applications. We abstract drawing style from recognition by defining figures using two data models: templates and figure targets. Our system recognizes general skeletal figures consisting of lines and ellipses which may be drawn partially off the canvas with the system automatically completing the figure. Figures are modeled as graphs and are allowed to contain cycles. Subgraph matching on a graph built from the stroke input is used to perform recognition. This paper outlines our system design, key details to its proper implementation, and proposes its application to various domains of sketch recognition.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Object recognitionen_US
dc.titleSketch-Based Recognition System for General Articulated Skeletal Figuresen_US
dc.description.seriesinformationEurographics Workshop on Sketch-Based Interfaces and Modelingen_US


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