Sketch Interpretation Using Multiscale Models of Temporal Patterns

Authors:
Tevfik Metin Sezgin;Randall Davis
Affiliations:
Massachusetts Institute of Technology;Massachusetts Institute of Technology
Venue:
IEEE Computer Graphics and Applications
Year:
2007

Citing 6
Cited 12

Stable local computation with conditional Gaussian distributions

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Sketch based interfaces: early processing for sketch understanding

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SketchREAD: a multi-domain sketch recognition engine

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HMM-based efficient sketch recognition

Proceedings of the 10th international conference on Intelligent user interfaces
Sketch interpretation and refinement using statistical models

EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
Spatial recognition and grouping of text and graphics

SBM'04 Proceedings of the First Eurographics conference on Sketch-Based Interfaces and Modeling

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Sketched symbol recognition using Latent-Dynamic Conditional Random Fields and distance-based clustering

Pattern Recognition

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Abstract

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.