Distinguishing between sketched scribble look alikes

Authors:
Katie Dahmen;Tracy Hammond
Affiliations:
Sketch Recognition Laboratory, Department of Computer Science, Texas A&M University, College Station, TX;Sketch Recognition Laboratory, Department of Computer Science, Texas A&M University, College Station, TX
Venue:
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Year:
2008

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Abstract

In hand-sketched drawings, nearly identical strokes may have different meanings to a user. For instance, a scribble could signify either that a shape should be filled in or that it should be deleted. This work describes a method for determining user intention in drawing scribbles in the context of a pen-based computer sketch. Our study shows that given two strokes, a circle and a scribble, two features (bounding ratio and density) can quickly and effectively determine a user's intention.