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An Automatic Matching Method of Object Contour Curves Based on Periodic Curvature Function

机译:基于周期曲率函数的目标轮廓曲线自动匹配方法

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The automatic matching method of two curves is the central important issue in the fields of computer vision, automation and pattern recognition. The method can be widely used in the object dynamic track, content-based image retrieval and the automatic assembly of robot. In order to solve the easy serious error and lacking global description of the traditional method, the periodic curvature function is brought forward in the paper. The function is raised based on the concept of continues curvature. The curvature of the continuous function not only has the unchanged character among the circumvolving, translation and zooming but also has the global character of the curves. At the same time the Gaussian function is used to smooth the curves to improve the matching precision. In the experiment, the feasibility of the method is verified further. The method has the advantages of easy to realize and quick speed, and can be easily expand to the other similar systems.
机译:两条曲线的自动匹配方法是计算机视觉,自动化和模式识别领域的重要中心问题。该方法可广泛应用于物体动态跟踪,基于内容的图像检索以及机器人的自动装配。为了解决传统方法容易产生的严重误差和缺乏全局描述的问题,提出了周期曲率函数。基于连续曲率的概念来提高功能。连续函数的曲率不仅在周转,平移和缩放之间具有不变的特性,而且还具有曲线的整体特性。同时,使用高斯函数对曲线进行平滑处理以提高匹配精度。在实验中,进一步验证了该方法的可行性。该方法具有易于实现,速度快的优点,并且可以容易地扩展到其他类似的系统。

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