Reading #2

Comments:
Danielle


Summary:


For the first part the paper, the author mainly discussed the GRANDMA toolkit, the first sketch recognition toolkit that has ever been developed. This toolkit used a graphic user interface, that can rapidly extract features from drawing and recognize the meaning from that drawing.

The rest part of the paper talked about the algorithm behind GRANDMA, and similar as last reading. The whole algorithm has two parts, feature extraction and classifier training, be more specific, 13 features and linear classifier.


Discussion:

I think the one main contribution of the paper is to build up the GRANDMA system, which has provided a simple but efficient interaction for sketch gesture recognition, and another contribution is the features he has defined.

However, whether these features are robust, whether they are suitable for more complex cases, should we add more features rather than x,y (like pressure, width of stroke etc)? This paper has provided a fundamental framework, so we can explore more on these points.