Computer Vision, Graphics, and Image Processing
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Neural networks for pattern recognition
Neural networks for pattern recognition
Generating multiple new designs from a sketch
Artificial Intelligence
Finding Perceptually Closed Paths in Sketches and Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curve Finder Combining Perceptual Grouping and a Kalman Like Fitting
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Sketch based interfaces: early processing for sketch understanding
Proceedings of the 2001 workshop on Perceptive user interfaces
Hierarchical parsing and recognition of hand-sketched diagrams
Proceedings of the 17th annual ACM symposium on User interface software and technology
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes
Proceedings of the 20th annual ACM symposium on User interface software and technology
Free-sketch recognition: putting the chi in sketching
CHI '08 Extended Abstracts on Human Factors in Computing Systems
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
Scribbles to vectors: preparation of scribble drawings for CAD interpretation
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
A curvature estimation for pen input segmentation in sketch-based modeling
Computer-Aided Design
LADDER, a sketching language for user interface developers
Computers and Graphics
A multi-agent system for the interpretation of architectural sketches
SBM'04 Proceedings of the First Eurographics conference on Sketch-Based Interfaces and Modeling
Producing models from drawings of curved surfaces
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
ShortStraw: a simple and effective corner finder for polylines
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Stroke extraction and classification for mesh inflation
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
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Sketching is a way of conveying ideas to people of diverse backgrounds and culture without any linguistic medium. With the advent of inexpensive tablet PCs, online sketches have become more common, allowing for stroke-based sketch recognition techniques, more powerful editing techniques, and automatic simulation of recognized diagrams. Online sketches provide significantly more information than paper sketches, but they still do not provide the flexibility, naturalness, and simplicity of a simple piece of paper. Recognition methods exist for paper sketches, but they tend to be domain specific and don't benefit from the advances of stroke-based sketch recognition. Our goal is to combine the power of stroke-based sketch recognition with the flexibility and ease of use of a piece of paper. In this paper we will present a stroke-tracing algorithm that can be used to extract stroke data from the pixilated image of the sketch drawn on paper. The presented method handles overlapping strokes and also attempts to capture sequencing information, which is helpful in many sketch recognition techniques. We present preliminary results of our algorithm on several paper-drawn, hand-sketched, scanned-in pixilated images.