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Free-sketch recognition: putting the chi in sketching
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Conference on Human Factors in Computing Systems archive
CHI '08 extended abstracts on Human factors in computing systems table of contents
Florence, Italy
SESSION: Works in progress table of contents
Pages 3027-3032  
Year of Publication: 2008
ISBN:978-1-60558-012-X
Authors
Tracy Hammond  Texas A&M University, College Station, TX, USA
Brian Eoff  Texas A&M University, College Station, TX, USA
Brandon Paulson  Texas A&M University, College Station, TX, USA
Aaron Wolin  Texas A&M University, College Station, TX, USA
Katie Dahmen  Texas A&M University, College Station, TX, USA
Joshua Johnston  Texas A&M University, College Station, TX, USA
Pankaj Rajan  Texas A&M University, College Station, TX, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Sketch recognition techniques have generally fallen into two camps. Gesture-based techniques, such as those used by the Palm Pilot's Graffiti, can provide high-accuracy, but require the user to learn a particular drawing style in order for shapes to be recognized. Free-sketch recognition allows users to draw shapes as they would naturally, but most current techniques have low accuracies or require significant domain-level tweaking to make them usable. Our goal is to recognize free-hand sketches with high accuracy by developing generalized techniques that work for a variety of domains, including design and education. This is a work-in-progress, but we have made significant advancements toward our over-arching goal.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Kara, L. B, Stahovich, T. F. An image-based trainable symbol recognizer for sketch-based interfaces. AAAI Fall Symposium Series 2004: Making Pen-Based Interaction Natural (2004).
 
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Kim, D. H., Kim M. J. A curvature estimation for pen input segmentation in sketch-based modeling. Computer-Aided Design (2006), 38(3), 238--248.
 
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Paulson, B., Hammond, T. PaleoSketch: Accurate Primitive Sketch Recognition and Beautification. In Proceedings of Intelligent User Interfaces (IUI'08) (2008).
 
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Plimmer B. Ink Features. Eurographics Sketchbased Interfaces and Modeling (2007).
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Collaborative Colleagues:
Tracy Hammond: colleagues
Brian Eoff: colleagues
Brandon Paulson: colleagues
Aaron Wolin: colleagues
Katie Dahmen: colleagues
Joshua Johnston: colleagues
Pankaj Rajan: colleagues