Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Recognizing multistroke geometric shapes: an experimental evaluation
UIST '93 Proceedings of the 6th annual ACM symposium on User interface software and technology
Recognizing and interpreting diagrams in design
AVI '94 Proceedings of the workshop on Advanced visual interfaces
SKETCH: an interface for sketching 3D scenes
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Teddy: a sketching interface for 3D freeform design
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Computer-aided sketching to capture preliminary design
AUIC '02 Proceedings of the Third Australasian conference on User interfaces - Volume 7
Developing Multi-agent Systems with JADE
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
Recognizing Hand Gesture using Fourier Descriptors
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Improving Visualization Skills in Engineering Education
IEEE Computer Graphics and Applications
A stochastic grammar of images
Foundations and Trends® in Computer Graphics and Vision
An agent-based framework for sketched symbol interpretation
Journal of Visual Languages and Computing
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
Sketch recognition in interspersed drawings using time-based graphical models
Computers and Graphics
A freehand-sketch environment for architectural design supported by a multi-agent system
Computers and Graphics
Automated freehand sketch segmentation using radial basis functions
Computer-Aided Design
Hi-index | 12.05 |
Important advances in natural calligraphic interfaces for CAD (Computer Aided Design) applications are being achieved, enabling the development of CAS (Computer Aided Sketching) devices that allow facing up to the conceptual design phase of a product. Recognizers play an important role in this field, allowing the interpretation of the user's intention, but they still present some important lacks. This paper proposes a new recognition paradigm using an agent-based architecture that does not depend on the drawing sequence and takes context information into account to help decisions. Another improvement is the absence of operation modes, that is, no button is needed to distinguish geometry from symbols or gestures, and also ''interspersing'' and ''overtracing'' are accomplished.