Interactive sketching for the early stages of user interface design
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sketch based interfaces: early processing for sketch understanding
Proceedings of the 2001 workshop on Perceptive user interfaces
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
An efficient graph-based recognizer for hand-drawn symbols
Computers and Graphics
Ladder: a perceptually-based language to simplify sketch recognition user interface development
Ladder: a perceptually-based language to simplify sketch recognition user interface development
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
A curvature estimation for pen input segmentation in sketch-based modeling
Computer-Aided Design
LADDER, a sketching language for user interface developers
Computers and Graphics
ShortStraw: a simple and effective corner finder for polylines
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Recognizing sketched multistroke primitives
ACM Transactions on Interactive Intelligent Systems (TiiS)
I don't believe my eyes!: geometric sketch recognition for a computer art tutorial
Proceedings of the International Symposium on Sketch-Based Interfaces and Modeling
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Geometric constraints are used by many sketch recognition systems to perform high-level assembly of components of a sketch into semantic structures. However, with a few notable exceptions, most of the current recognition systems do not have constraints that use real-valued notions of confidence. We discuss methods for assigning confidence values to different kinds of constraints. We show how these confidence values equate to user perception, how they can be used to balance speed and accuracy in recognition algorithms, and how they can be used to assign confidence values to the high-level shapes they are used to construct. We use these constraints to extend the LADDER shape definition language in a system that recognizes 5,900 hand-drawn examples of 485 different military course-of-action diagrams at an accuracy of 89.9%.