Abstract
The ability to recognize the strokes drawn by the user, is central to most sketch-based interfaces. However, very few solutions that rely on recognition are robust enough to make sketching a definitive alternative to traditional WIMP user interfaces. In this paper, we propose an approach based on classification that given an unconstrained sketch, can robustly assign a label to each stroke that comprises the sketch. A key contribution of our approach is a technique for grouping strokes that eliminates outliers and enhances the robustness of the classification. We also propose a set of features that capture important attributes of the shape and mutual relationship of strokes. These features are statistically well-behaved and enable robust classification with Support Vector Machines (SVM). We conclude by presenting a concrete implementation of these techniques in an interface for driving facial expressions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Igarashi, T., Matsuoka, S., Tanaka, H.: Teddy: a sketching interface for 3d freeform design. In: SIGGRAPH 1999. Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pp. 409–416. ACM Press/Addison-Wesley Publishing Co., New York (1999)
Chang, E., Jenkins, O.C.: Sketching articulation and pose for facial animation, 19–26 (2006)
Thorne, M., Burke, D., van de Panne, M.: Motion doodles: an interface for sketching character motion. ACM Trans. Graph. 23, 424–431 (2004)
Sharon, D., van de Panne, M.: Constellation models for sketch recognition. SBIM 2006, 19–26 (2006)
Shilman, M., Viola, P., Chellapilla, K.: Recognition and grouping of handwritten text in diagrams and equations. In: IWFHR 2004, pp. 569–574. IEEE Computer Society Press, Washington, DC, USA (2004)
Cheong, C.E., Kim, H.Y., Suh, J.W., Kim, H.: Handwritten numeral string recognition with stroke grouping. In: ICDAR 1999, p. 745. IEEE Computer Society, Washington, DC, USA (1999)
Saund, E., Mahoney, J., Fleet, D., Larner, D., Lank, E.: Perceptual organization as a foundation for intelligent sketch editing (2002)
Saund, E., Moran, T.P.: A perceptually-supported sketch editor. In: ACM Symposium on User Interface Software and Technology, pp. 175–184. ACM, New York (1994)
Arnheim, R.: Art and Visual Perception: A Psychology of the Creative Eye (1974)
Yang, C., Sharon, D., van de Panne, M.: Sketch-based modeling of parameterized objects. In: Eurographics Workshop on Sketch-Based Interfaces and Modeling, pp. 63–72 (2005)
Nataneli, G., Faloutsos, P.: Technical report: Sketching facial expressions. UCLA (2007), URL: http://www.cs.ucla.edu/~nataneli/pages/publications.html
Author information
Authors and Affiliations
Editor information
Electronic Supplementary Material
Supplementary material (70,410 KB)
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nataneli, G., Faloutsos, P. (2007). Robust Classification of Strokes with SVM and Grouping. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-76858-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
Online ISBN: 978-3-540-76858-6
eBook Packages: Computer ScienceComputer Science (R0)