On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing multistroke geometric shapes: an experimental evaluation
UIST '93 Proceedings of the 6th annual ACM symposium on User interface software and technology
A perceptually-supported sketch editor
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
The nature of statistical learning theory
The nature of statistical learning theory
Orthogonal Moment Features for Use With Parametric and Non-Parametric Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the approximation of curves by line segments using dynamic programming
Communications of the ACM
Recognition of freehand sketches using mean shift
Proceedings of the 8th international conference on Intelligent user interfaces
IEEE Intelligent Systems
Finding Perceptually Closed Paths in Sketches and Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
An interactive system for recognizing hand drawn UML diagrams
CASCON '00 Proceedings of the 2000 conference of the Centre for Advanced Studies on Collaborative research
Smart Sketchpad - An On-line Graphics Recognition System
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Robust sketched symbol fragmentation using templates
Proceedings of the 9th international conference on Intelligent user interfaces
Sketch based interfaces: early processing for sketch understanding
Proceedings of the 2001 workshop on Perceptive user interfaces
Sketched Symbol Recognition using Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Tahuti: a geometrical sketch recognition system for UML class diagrams
ACM SIGGRAPH 2006 Courses
Freeform user interfaces for graphical computing
SG'03 Proceedings of the 3rd international conference on Smart graphics
Structural Descriptions and Inexact Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient graph-based recognizer for hand-drawn symbols
Computers and Graphics
Aestheticization of Flowcharts
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
GestureBar: improving the approachability of gesture-based interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
Sketch recognition using particle swarm algorithms
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Technical Section: SpeedSeg: A technique for segmenting pen strokes using pen speed
Computers and Graphics
Recognizing sketched multistroke primitives
ACM Transactions on Interactive Intelligent Systems (TiiS)
Sketched symbol recognition with auto-completion
Pattern Recognition
Newtons Pen II: an intelligent, sketch-based tutoring system and its sketch processing techniques
Proceedings of the International Symposium on Sketch-Based Interfaces and Modeling
Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces
Relative accuracy measures for stroke gestures
Proceedings of the 15th ACM on International conference on multimodal interaction
Understanding the consistency of users' pen and finger stroke gesture articulation
Proceedings of Graphics Interface 2013
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Sketch-based user interfaces (UIs) provide a more direct and convenient way for interacting with computers, especially for performing graphical tasks. Most computer programs provide a mouse-and-palette-based UI for editing shapes, which can be cumbersome to use. In order to draw a shape, a user must first select the desired shape from a menu or from a hierarchy of menus, and then make a series of adjustments to the shape (i.e. rotation, scaling, horizontal/vertical flip, etc.). A more convenient approach to this task is to allow the user to sketch the desired shape directly and then replace it with a 'beautified' symbol with the correct transformation, all in one step. In this paper, we present a complete system for recognizing and beautifying sketched symbols. We have implemented this system as an interface to the Microsoft PowerPoint application to enable a user to sketch symbols directly onto a presentation slide.