| dc.contributor.author | Zamora, Shane | en_US |
| dc.contributor.author | Sherwood, Timothy | en_US |
| dc.contributor.editor | Marc Alexa and Ellen Yi-Luen Do | en_US |
| dc.date.accessioned | 2014-01-28T18:11:46Z | |
| dc.date.available | 2014-01-28T18:11:46Z | |
| dc.date.issued | 2010 | en_US |
| dc.identifier.isbn | 978-3-905674-25-5 | en_US |
| dc.identifier.issn | 1812-3503 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/SBM/SBM10/119-126 | en_US |
| dc.description.abstract | We 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.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Object recognition | en_US |
| dc.title | Sketch-Based Recognition System for General Articulated Skeletal Figures | en_US |
| dc.description.seriesinformation | Eurographics Workshop on Sketch-Based Interfaces and Modeling | en_US |
