Discrete-time signal processing
Discrete-time signal processing
Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Spatio-temporal representation and retrieval using moving object's trajectories
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Efficient Time Series Matching by Wavelets
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Modeling of Moving Objects in a Video Database
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Sketch based interfaces: early processing for sketch understanding
Proceedings of the 2001 workshop on Perceptive user interfaces
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
Motion Trajectory Learning in the DFT-Coefficient Feature Space
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Experiments with "Characteristic Loci" for Recognition of Handprinted Characters
IEEE Transactions on Computers
An image-based, trainable symbol recognizer for hand-drawn sketches
Computers and Graphics
Freeform user interfaces for graphical computing
SG'03 Proceedings of the 3rd international conference on Smart graphics
An efficient graph-based symbol recognizer
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
Constellation models for sketch recognition
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
Technical Section: Sketch-based modeling: A survey
Computers and Graphics
Stroke extraction and classification for mesh inflation
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
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Determining similarity of two point sequences (strokes) is a fundamental task in gestural interfaces. Because the length of each stroke is arbitrary, mapping to a fixed-dimension feature space is often done to allow for direct comparison. In this paper, we propose a new feature space based on angle quantization. For each adjacent pair of points in a stroke, the vector between them defines an angle relative to a fixed axis. The sequence of these angles can be mapped to a k-dimensional feature space by quantizing the unit circle into k ranges, and taking a normalized count of the number of stroke angles in each range. The Euclidean distance between strokes in this feature space gives a measure of stroke similarity. The measure is scale invariant, and some degree of rotational invariance can be achieved with slight modification. Our method is shown to offer efficient and accurate gestural matching performance compared to traditional signal-processing and image-based methods.