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Online Composite Sketchy Shape Recognition Using Dynamic Programming

机译:基于动态规划的在线复合草图形状识别

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摘要

This paper presents a solution for online composite sketchy shape recognition. The kernel of the strategy treats both stroke segmentation and sketch recognition as an optimization problem of "fitting to a template". A nested recursive optimization process is then designed by means of dynamic programming to do stroke segmentation and symbol recognition cooperatively by minimizing the fitting errors between inputting patterns and templates. Experimental results prove the effectiveness of the proposed method.
机译:本文提出了一种在线合成草图形状识别的解决方案。该策略的核心将笔划分割和草图识别均视为“适合模板”的优化问题。然后,通过动态编程设计嵌套的递归优化过程,以通过最小化输入模式和模板之间的拟合误差来协同进行笔划分割和符号识别。实验结果证明了该方法的有效性。

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