Publication statistics

Pub. period:2004-2007
Pub. count:7
Number of co-authors:5



Co-authors

Number of publications with 3 favourite co-authors:

Thomas F. Stahovich:5
Kenji Shimada:3
WeeSan Lee:1

 

 

Productive colleagues

Levent Burak Kara's 3 most productive colleagues in number of publications:

Thomas F. Stahovic..:9
Kenji Shimada:4
WeeSan Lee:2
 
 
 

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Levent Burak Kara

 

Publications by Levent Burak Kara (bibliography)

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2007
 
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Kara, Levent Burak and Shimada, Kenji (2007): Sketch-Based 3D-Shape Creation for Industrial Styling Design. In IEEE Computer Graphics and Applications, 27 (1) pp. 60-71. Available online

 
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Kara, Levent Burak, Shimada, Kenji and Marmalefsky, Sarah D. (2007): An evaluation of user experience with a sketch-based 3D modeling system. In Computers & Graphics, 31 (4) pp. 580-597. Available online

 
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Lee, WeeSan, Kara, Levent Burak and Stahovich, Thomas F. (2007): An efficient graph-based recognizer for hand-drawn symbols. In Computers & Graphics, 31 (4) pp. 554-567. Available online

2005
 
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Gennari, Leslie, Kara, Levent Burak, Stahovich, Thomas F. and Shimada, Kenji (2005): Combining geometry and domain knowledge to interpret hand-drawn diagrams. In Computers & Graphics, 29 (4) pp. 547-562. Available online

 
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Kara, Levent Burak and Stahovich, Thomas F. (2005): An image-based, trainable symbol recognizer for hand-drawn sketches. In Computers & Graphics, 29 (4) pp. 501-517. Available online

2004
 
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Kara, Levent Burak and Stahovich, Thomas F. (2004): Hierarchical parsing and recognition of hand-sketched diagrams. In: Proceedings of the 2004 ACM Symposium on User Interface Software and Technology 2004. pp. 13-22. Available online

A long standing challenge in pen-based computer interaction is the ability to make sense of informal sketches. A main difficulty lies in reliably extracting and recognizing the intended set of visual objects from a continuous stream of pen strokes. Existing pen-based systems either avoid these issues altogether, thus resulting in the equivalent of a drawing program, or rely on algorithms that place unnatural constraints on the way the user draws. As one step toward alleviating these difficulties, we present an integrated sketch parsing and recognition approach designed to enable natural, fluid, sketch-based computer interaction. The techniques presented in this paper are oriented toward the domain of network diagrams. In the first step of our approach, the stream of pen strokes is examined to identify the arrows in the sketch. The identified arrows then anchor a spatial analysis which groups the uninterpreted strokes into distinct clusters, each representing a single object. Finally, a trainable shape recognizer, which is informed by the spatial analysis, is used to find the best interpretations of the clusters. Based on these concepts, we have built SimuSketch, a sketch-based interface for Matlab\'s Simulink software package. An evaluation of SimuSketch has indicated that even novice users can effectively utilize our system to solve real engineering problems without having to know much about the underlying recognition techniques.

© All rights reserved Kara and Stahovich and/or ACM Press

 
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Kara, Levent Burak and Stahovich, Thomas F. (2004): Sim-U-Sketch: a sketch-based interface for SimuLink. In: Costabile, Maria Francesca (ed.) AVI 2004 - Proceedings of the working conference on Advanced visual interfaces May 25-28, 2004, Gallipoli, Italy. pp. 354-357. Available online

 
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