comments: Chris
This paper is a summary of some well-known gesture recognition techniques in sketch recognition. It begins with a presentation of Rubine's feature-based algorithm. It describes the 13 features and gives some examples of how they are used as well as some illustrations to help understand the features. It briefly touches on the training and recognition system Rubine used, but doesn't go into much detail. Long's 22-feature extension of Rubine's algorithm is then presented in the same way. It presents Long's extra 11 features. Finally, Wobbrock's $1 algorithm is described.
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This is a pretty good summary of these well-known sketch recognition methods. I think it summarizes the key points of each approach and would allow the implementation of each method without much trouble. It could probably make up part of a handbook/reference guide. There were many grammatical errors/typos and some missing figures and details, however.
1 comments of glory:
I really like the tab in the top right. I'll try to find a creative way to reciprocate.
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