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Sketch Recognition - CSE 624

Sketch Recognition - CSE 624. Reading #30: Tahuti: A Geometrical Sketch Recognition System for UML Class Diagrams (Hammond). The paper presents a a dual-view, multi-stroke sketch recognition environment for class diagrams in UML, called Tahuti. It is a geometry-based method to give users more freedom to draw and edit. Then the author introduces some recognition method for basic shape, like rectangle, ellipse. The experiment shows that Tahuti is the most welcomed by users compared with other systems.

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Sketch Recognition - CSE 624 | jianjiezhang-sr2010.blogspot.com Reviews

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Sketch Recognition - CSE 624. Reading #30: Tahuti: A Geometrical Sketch Recognition System for UML Class Diagrams (Hammond). The paper presents a a dual-view, multi-stroke sketch recognition environment for class diagrams in UML, called Tahuti. It is a geometry-based method to give users more freedom to draw and edit. Then the author introduces some recognition method for basic shape, like rectangle, ellipse. The experiment shows that Tahuti is the most welcomed by users compared with other systems.

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Sketch Recognition - CSE 624 | jianjiezhang-sr2010.blogspot.com Reviews

https://jianjiezhang-sr2010.blogspot.com

Sketch Recognition - CSE 624. Reading #30: Tahuti: A Geometrical Sketch Recognition System for UML Class Diagrams (Hammond). The paper presents a a dual-view, multi-stroke sketch recognition environment for class diagrams in UML, called Tahuti. It is a geometry-based method to give users more freedom to draw and edit. Then the author introduces some recognition method for basic shape, like rectangle, ellipse. The experiment shows that Tahuti is the most welcomed by users compared with other systems.

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jianjiezhang-sr2010.blogspot.com

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Sketch Recognition - CSE 624: Reading #17: Distinguishing Text from Graphics in On-line Handwritten Ink (Bishop)

http://jianjiezhang-sr2010.blogspot.com/2010/12/reading-17-distinguishing-text-from.html

Sketch Recognition - CSE 624. Reading #17: Distinguishing Text from Graphics in On-line Handwritten Ink (Bishop). The paper presents a system that separates text from graphics strokes. Different with the previous paper about entropy, this paper proposes a HMM-based method to distinguish text from graphics. 9 features are extracted to represent a stroke. A MLP model was trained for classification. The object function is the cross entropy error, which is defined as. And in the experiment results, we can se...

2

Sketch Recognition - CSE 624: Reading #19: Diagram Structure Recognition by Bayesian Conditional Random Fields (Qi)

http://jianjiezhang-sr2010.blogspot.com/2010/12/reading-19-diagram-structure.html

Sketch Recognition - CSE 624. Reading #19: Diagram Structure Recognition by Bayesian Conditional Random Fields (Qi). The algorithm proposed in the paper seems good, because it incorporate two good algorihtms into a better one. The experiments show that it is more efficient that other algorithms. An ink feature, really sounds impossible to me. 订阅：帖子评论 (Atom). Reading #30: Tahuti: A Geometrical Sketch Recognit. Reading #29: Scratch Input Creating Large, Inexpen. 8211; Using Sketch Recognition . Reading #1...

3

Sketch Recognition - CSE 624: Reading #27: K-sketch: A 'Kinetic' Sketch Pad for Novice Animators (Davis)

http://jianjiezhang-sr2010.blogspot.com/2010/12/reading-27-k-sketch-kinetic-sketch-pad.html

Sketch Recognition - CSE 624. Reading #27: K-sketch: A 'Kinetic' Sketch Pad for Novice Animators (Davis). The paper proposes a general-purpose, informal, 2D animation sketching system, called K-Sketch, to help novices create a wide range of animations quickly. The system is evaluated by three small user studies. All studies indicated that K-Sketch is stronger than PowerPoint in many aspects, except comfort sharing. However, for this paper, I treat it more as a technical report, rather than a conference p...

4

Sketch Recognition - CSE 624: Reading #25: A Descriptor for Large Scale Image Retrieval Based on Sketched Feature Lines (Eitz)

http://jianjiezhang-sr2010.blogspot.com/2010/12/reading-25-descriptor-for-large-scale.html

Sketch Recognition - CSE 624. Reading #25: A Descriptor for Large Scale Image Retrieval Based on Sketched Feature Lines (Eitz). The paper presents a tensor-based descriptor for large scale image retrieval based on sketched feature lines. The descriptor is used to search an image in the database, which is similar to the input sketch. It solves the problem of asymmetry between the binary sketch input and the full color image. Interesting idea, real hard part to how to thinkg of this idea. Reading #21: Tedd...

5

Sketch Recognition - CSE 624: Reading #30: Tahuti: A Geometrical Sketch Recognition System for UML Class Diagrams (Hammond)

http://jianjiezhang-sr2010.blogspot.com/2010/12/reading-30-tahuti-geometrical-sketch.html

Sketch Recognition - CSE 624. Reading #30: Tahuti: A Geometrical Sketch Recognition System for UML Class Diagrams (Hammond). The paper presents a a dual-view, multi-stroke sketch recognition environment for class diagrams in UML, called Tahuti. It is a geometry-based method to give users more freedom to draw and edit. Then the author introduces some recognition method for basic shape, like rectangle, ellipse. The experiment shows that Tahuti is the most welcomed by users compared with other systems.

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Sketch Recognition - CSE 624

Sketch Recognition - CSE 624. Reading #30: Tahuti: A Geometrical Sketch Recognition System for UML Class Diagrams (Hammond). The paper presents a a dual-view, multi-stroke sketch recognition environment for class diagrams in UML, called Tahuti. It is a geometry-based method to give users more freedom to draw and edit. Then the author introduces some recognition method for basic shape, like rectangle, ellipse. The experiment shows that Tahuti is the most welcomed by users compared with other systems.

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