| 一种快速在线图形识别与规整化方法 |
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| 引用本文： | 孙建勇,金翔宇,等.一种快速在线图形识别与规整化方法[J].计算机科学,2003,30(2):172-176. |
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| 作者姓名： | 孙建勇 金翔宇 |
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| 作者单位： | 南京大学计算机软件新技术国家重点实验室,南京,210093;南京大学计算机科学与技术系多媒体技术研究所,南京,210093 |
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| 基金项目： | 国家自然科学基金(编号:69903006) |
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| 摘 要： | 1.引言因特网的迅速发展以及个人电脑的广泛使用促成了数量惊人的电子文档的出现。相比纸质资料,数字媒体内容更为丰富,形式更为多样化。随着计算机的介入,传统的设计方式发生了革命性的变革。设计工作不再是单纯的人为任务,而是一个人机不断交互的过程。因此,需要有一种新的技术和工具,能将传统设计方法与计算机辅助设计的优点有机地结合起
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| 关 键 词： | 在线图形识别 图形处理 计算机 图形规整化 |
A Method of Fast On-Line Graphics Recognition and Regularization |
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| SUN Jian-Yong JIN Xiang-Yu PENG Bin-Bin SUN Zheng-Xing LIU Wen-Yin.A Method of Fast On-Line Graphics Recognition and Regularization[J].Computer Science,2003,30(2):172-176. |
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| Authors: | SUN Jian-Yong JIN Xiang-Yu PENG Bin-Bin SUN Zheng-Xing LIU Wen-Yin |
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| Abstract: | A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divide the on-line graphics recognition process into four stages: preprocessing, shape classification, shape fitting,and regularization. Attraction Force Model is employed to progressively combine the vertices on the input sketchy stroke and reduce the total number of vertices before the type of shape can be determined. After that, the shape is fitted and gradually rectified to a regular one,thus the regularized shape fits the user intended one precisely. Experimental results show that this algorithm can yield good recognition precision(averagely above 90%)and fine regularization effect but with fast speed. Consequently, it is especially suitable to computational critical environment such as PDAs,which solely depends on a pen-based user interface. |
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| Keywords: | On-line graphics recognition Shape classification Shape fitting Shape regularization Sketch-based user interface |
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