Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Visual similarity of pen gestures
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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
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
LADDER, a sketching language for user interface developers
ACM SIGGRAPH 2007 courses
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
Constellation models for sketch recognition
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
ShortStraw: a simple and effective corner finder for polylines
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
ClassySeg: a machine learning approach to automatic stroke segmentation
Proceedings of the Eighth Eurographics Symposium on Sketch-Based Interfaces and Modeling
Combining corners from multiple segmenters
Proceedings of the Eighth Eurographics Symposium on Sketch-Based Interfaces and Modeling
Sketch it, make it: sketching precise drawings for laser cutting
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Technical Section: A machine learning approach to automatic stroke segmentation
Computers and Graphics
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Free-sketch recognition systems attempt to recognize freely-drawn sketches without placing stylistic constraints on the users. Such systems often recognize shapes by using geometric primitives that describe the shape's appearance rather than how it was drawn. A free-sketch recognition system necessarily allows users to draw several primitives using a single stroke. Corner finding, or vertex detection, is used to segment these strokes into their underlying primitives (lines and arcs), which in turn can be passed to the geometric recognizers. In this paper, we present a new multi-pass corner finding algorithm called MergeCF that is based on continually merging smaller stroke segments with similar, larger stroke segments in order to eliminate false positive corners. We compare MergeCF to two benchmark corner finders with substantial improvements in corner detection.