Exploring the unrealized potential of computer-aided drafting
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A suggestive interface for image guided 3D sketching
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
Exploring sketch beautification techniques
CHINZ '05 Proceedings of the 6th ACM SIGCHI New Zealand chapter's international conference on Computer-human interaction: making CHI natural
Evaluating user interface systems research
Proceedings of the 20th annual ACM symposium on User interface software and technology
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
EverybodyLovesSketch: 3D sketching for a broader audience
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Combining geometry and domain knowledge to interpret hand-drawn diagrams
Computers and Graphics
iCanDraw: using sketch recognition and corrective feedback to assist a user in drawing human faces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Computing confidence values for geometric constraints for use in sketch recognition
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
ShadowDraw: real-time user guidance for freehand drawing
ACM SIGGRAPH 2011 papers
The drawing assistant: automated drawing guidance and feedback from photographs
Proceedings of the 26th annual ACM symposium on User interface software and technology
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Drawing is a common form of communication and a means of artistic expression. Many of us believe that the ability to draw accurate representations of objects is a skill that either comes naturally or is the result of hours of study or practice or both. As a result many people become intimidated when confronted with the task of drawing. Many books and websites have been developed to teach people step-by-step skills to draw various objects, but they lack the live feedback of a human examiner. We designed EyeSeeYou, a sketch recognition system that teaches users to draw eyes using a simple drawing technique. The system automatically evaluates the freehand drawn sketch of an eye at various stages during creation. We conducted frequent evaluations of the system in order to take an iterative development approach based on user feedback. Our system balances the flexibility of free-hand drawing with step-by-step instructions and realtime assessment. It also provides rigorous feedback to create a constructive learning environment to aid the user in improving her drawing. This paper describes the implementation details of the sketch recognition system. A similar implementation method could be used to provide sketching tutorials for a wide number of images.