Comments:
Ozgur
Summary
This paper used features from texts such as curvature, speed, intersection, etc to distinguish the shape described by text. Totally 46 features have been chosen and grouped in to 7 categories. The experiment was tested on 26 participants, and they use a statistical partition to find 8 of these features
are found useful to split text strokes and build a decision tree.Ozgur
Summary
This paper used features from texts such as curvature, speed, intersection, etc to distinguish the shape described by text. Totally 46 features have been chosen and grouped in to 7 categories. The experiment was tested on 26 participants, and they use a statistical partition to find 8 of these features
Discussion:
This paper has broaden our horizon, that sketch recognition may not just be points and lines. Since it is the human who is drawing, it is reasonable that human can give other information like text.
similar, your advisor's research uses human knowledge to guide animation design. Human knowledge comes from sketch.
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