Sketch-Based Recognition System for General Articulated Skeletal Figures
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Date
2010
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{:10.2312/SBM/SBM10/119-126,
booktitle = {Eurographics Workshop on Sketch-Based Interfaces and Modeling},
editor = {Marc Alexa and Ellen Yi-Luen Do},
title = {{Sketch-Based Recognition System for General Articulated Skeletal Figures}},
author = {Zamora, Shane and Sherwood, Timothy},
year = {2010},
publisher = {The Eurographics Association},
ISSN = {1812-3503},
ISBN = {978-3-905674-25-5},
DOI = {/10.2312/SBM/SBM10/119-126}
}