Demonstrating the electronic cocktail napkin: a paper-like interface for early design
Conference Companion on Human Factors in Computing Systems
Interpreting Sloppy Stick Figures by Graph Rectification and Constraint-Based Matching
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A sketching interface for articulated figure animation
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
An efficient graph-based recognizer for hand-drawn symbols
Computers and Graphics
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
Sketch-based educational games: "drawing" kids away from traditional interfaces
IDC '08 Proceedings of the 7th international conference on Interaction design and children
LADDER: a language to describe drawing, display, and editing in sketch recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
LADDER, a sketching language for user interface developers
Computers and Graphics
LAMPS: A sketch recognition-based teaching tool for Mandarin Phonetic Symbols I
Journal of Visual Languages and Computing
Retrieval and Visualization of Human Motion Data via Stick Figures
Computer Graphics Forum
Sketch-based 3D model retrieval by incorporating 2D-3D alignment
Multimedia Tools and Applications
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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.