by Levent Burak Kara, Thomas F Stahovich
Comments: Jonathan
This paper takes an image-based approach to sketch recognition using an ensemble classifier consisting of four different classifiers. They want a system that can recognize sketches very fast (real time for interaction) and that is also rotation invariant (using a fast polar coordinate technique).
This paper really focuses on the sketch interface and making it an attractive alternative to paper. To be a viable alternative, interaction (and therefore recognition) must be able to occur in real-time with no interruptions to the user. They also want to be able to recognize many shapes as well as "sketchy" shapes.
They used 20 shapes collected from some users. They achieved recognition rates in the mid to high 90s.
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This is a good paper for an introduction to image-based approaches. It is also useful for understanding sketch interfaces. Considering the year (2005), the sketches were recognized very quickly and would be recognized even faster on today's machines.
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