A fast sequential method for polygonal approximation of digitized curves
Computer Vision, Graphics, and Image Processing
A domain-independent system for sketch recognition
Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Dynamic programming as applied to feature subset selection in a pattern recognition system
ACM '72 Proceedings of the ACM annual conference - Volume 1
Sketch based interfaces: early processing for sketch understanding
Proceedings of the 2001 workshop on Perceptive user interfaces
Sim-U-Sketch: a sketch-based interface for SimuLink
Proceedings of the working conference on Advanced visual interfaces
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
The lack of a priori distinctions between learning algorithms
Neural Computation
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
Sort, merge, repeat: an algorithm for effectively finding corners in hand-sketched strokes
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
A usability evaluation of AlgoSketch: a pen-based application for mathematics
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
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
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
ShortStraw: a simple and effective corner finder for polylines
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
RedDog: a smart sketch interface for autonomous aerial systems
Proceedings of the International Symposium on Sketch-Based Interfaces and Modeling
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Pen-based interfaces utilize sketch recognition in order to allow users to sketch complex systems with intuitive input. In order to allow users to freely draw their ideas without constraints, the low-level techniques involved with sketch recognition must be perfected because poor low-level accuracy can impair a user's interaction experience. Stroke segmentation algorithms often employ single, specific techniques in their attempts to splice strokes into primitives used for visual shape representations. These algorithms each have their strengths and weaknesses, and different segmenters find and miss different corners. We introduce a technique to combine polyline corner results from different segmenters by using a variation of feature subset selection. Our feature subset selection algorithm uses a sequential floating backward selection with a mean-squared error objective function in order to find the best subset of corners. By utilizing our combination method, we were able to achieve all-or-nothing accuracies of 0.926 on polyline stroke data.