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Face Recognition Using Interpolated Bezier Curve Based Representation

机译:使用基于插值的Bezier曲线表示的人脸识别

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This paper proposes an efficient face recognition scheme, which incorporates certain methods. In this scheme, edges are obtained from sobelled face images. The major feature areas are segmented and principal curves are obtained by applying thinning algorithm on the features of resulting face image. A modified thinning algorithm based on line sweep procedures is used. A line sweep is a process where the plane is divided into parallel slabs by lines passing through certain "events" and then items are processed according to an order of the slabs [1]. A new method for Bezier contour point interpolation is used after locating the two end points of the curve on the prime facial features. The two control points of a Bezier curve are interpolated by this method. The Bezier points i.e. the two end points of a curve and the two control points, form the line segments whose Hausdroff distances are calculated as specified in the algorithm discussed in this paper. The recognition rate is 100% on normal faces and also on faces with some simple expressions.
机译:本文提出了一种有效的面部识别方案,它包含某些方法。在该方案中,从Sobelled面部图像获得边缘。主要特征区域是分段的,并且通过在所得到的面部图像的特征上应用细化算法来获得主曲线。使用基于线路扫描程序的修改化细化算法。线扫描是通过通过某些“事件”的线分为平行板的过程,然后根据板的顺序处理项目[1]。在定位曲线上的两个端点上的曲线上的两个终点上,使用了一种新的Bezier轮廓点插值方法。通过该方法内插的Bezier曲线的两个控制点。 Bezier点I.E.曲线的两个终点和两个控制点,形成如本文中讨论的算法中的规定计算了HAUSDROFF距离的线段。识别率为100%在正常面上,也有一些简单表达的面。

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