Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
Segmenting Handwritten Signatures at Their Perceptually Important Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonparametric Segmentation of Curves into Various Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reduced-search dynamic programming for approximation of polygonal curves
Pattern Recognition Letters
Online Recognition of Chinese Characters: The State-of-the-Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust sketched symbol fragmentation using templates
Proceedings of the 9th international conference on Intelligent user interfaces
A near-linear constant-factor approximation for euclidean bipartite matching?
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
A Corner-Finding Algorithm for Chain-Coded Curves
IEEE Transactions on Computers
IEEE Transactions on Computers
An agent-based framework for sketched symbol interpretation
Journal of Visual Languages and Computing
Minimum description length approximation of digital curves
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
QuickDiagram: a system for online sketching and understanding of diagrams
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Segmentation and multi-model approximation of digital curves
Pattern Recognition Letters
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In this paper, a dynamic programming (DP) based approach is proposed to split a freehand stroke into the optimal number of line segments and elliptical arcs. Different from existing DP approaches, which often require a predefined fixed number and/or the templates of the result segments, our approach is actually a generic parameterized framework, which can be configured to some existing methods by fixing some of the parameters. Our key contribution is to avoid presetting of the number or templates of the segments and achieve the best tradeoff between the segment number and approximate error by using a suitable penalty function. Experiments show that our approach achieves high segmentation accuracy and can response to user's stroke input in real-time.