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Issue No.01 - January/February (2007 vol.27)
pp: 28-37
Tevfik Metin Sezgin , Massachusetts Institute of Technology
The growing popularity of tablet PCs and intelligent pen-based interfaces have increased the importance of freehand sketch recognition algorithms as enabling technology. A recognition framework based on multiscale statistical models of temporal patterns significantly increases correct recognition rates, with no added computational penalties.
User interfaces, Artificial Intelligence, Learning, Vision and Scene Understanding, Segmentation, Object recognition, Hierarchical, Statistical, Document and Text Processing, Graphics recognition and interpretation
Tevfik Metin Sezgin, "Sketch Interpretation Using Multiscale Models of Temporal Patterns", IEEE Computer Graphics and Applications, vol.27, no. 1, pp. 28-37, January/February 2007, doi:10.1109/MCG.2007.17
1. T.M. Sezgin and R. Davis, "HMM-Based Efficient Sketch Recognition," Proc. 10th Int'l Conf. Intelligent User Interfaces (IUI 05), ACM Press, 2005, pp. 281–283.
2. C. Alvarado and R. Davis, "Sketchread: A Multi-Domain Sketch Recognition Engine," Proc. 17th ACM Symp. User Interface Software and Technology (UIST 04), ACM Press, 2004, pp. 23–32.
3. M. Shilman et al., "Statistical Visual Language Models for Ink Parsing," AAAI Spring Symp.: Sketch Understanding, AAAI Press, 2002, pp. 126–132.
4. L. Gennari, L.B. Kara, and T.F. Stahovich, "Combining Geometry and Domain Knowledge to Interpret Hand-Drawn Diagrams," AAAI Fall Symp., AAAI Press, 2004, pp. 64–70.
5. T.M. Sezgin, T. Stahovich, and R. Davis, "Sketch Based Interfaces: Early Processing for Sketch Understanding," Proc. 2001 Workshop Perceptive User Interfaces (PUI 01), ACM Press, 2001, pp. 1–8.
6. K. Murphy and M. Paskin, "Linear Time Inference in Hierarchical HMMs," Advances in Neural Information Processing Systems, T.G. Dietterich, S. Becker, and Z. Ghahramani, eds., MIT Press, 2001.
7. S. Lauritzen and F. Jensen, "Stable Local Computation with Conditional Gaussian Distributions," Statistics and Computing, vol. 11, no. 2, 2001, pp. 191–203.
8. S.J. Cates, "Using Context to Resolve Ambiguity in Sketch Understanding," master's thesis, Massachusetts Inst. of Technology, Dept. Electrical Eng. and Computer Science, 2006.
9. T.M. Sezgin, "Online Sketch Recognition from a Dynamic Perspective," doctoral dissertation, Massachusetts Inst. of Technology, Dept. Electrical Eng. and Computer Science, June 2006.
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