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On the representation of a digital contour with an unordered point set for visual perception

机译:关于数字轮廓的表示,该无轮廓点集用于视觉感知

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In this paper, we study the problem of representing the boundary of a digital object with an unordered set of points (pixels) chosen from its 1-pixel wide contour such that its shape is visually perceptible and uniquely reconstructible. Extraction of such a set is important from the viewpoint of shape description and may also offer potential solutions to various applications like object representation, recognition, and discrimination. We propose a novel technique of determining an irredundant point set from a digital contour using the classical concept of pointillism. Pointillism, a movement of painting with dots that would blend in the viewer's eye, was developed by certain Neo-Impressionists of France late in the 19th century. In order to extract the representative point set, we first consider the digitally straight pieces constituting the contour and then obtain a digital polygon V that approximates the bounding curve in a compact form. The polygon V, defined in terms of its ordered set of vertices, is replaced, in turn, with an irredundant set V of pseudo-vertices lying on its digital edges, so that the union of V and V produces an unordered point set that obviates the vertex ordering but captures the underlying geometric orderliness and the neighborhood relations defining the boundary of the original object. The pseudo-vertices may be chosen by controlling a parameter called pointillist factor that governs our visual perception with the nearest-neighbor correlation of a point set. The pointillist factor can be regulated to control the prominence of the underlying object with its unordered set of points — a strong outcome that establishes the technique about its ability to capture the shape information by an order-free point set of optimal or suboptimal size. We have also given a reconstruction procedure along with an error analysis related with the concerned descriptor. Experimental results on several databases demonstrate its elegance and effectiveness.
机译:在本文中,我们研究了用一个从其1像素宽的轮廓中选择的无序点(像素)来表示数字对象的边界的问题,以便其形状在视觉上可以感知并且可以唯一地重构。从形状描述的角度来看,提取这样的集合非常重要,并且还可以为各种应用(例如对象表示,识别和区分)提供潜在的解决方案。我们提出了一种使用点画法的经典概念从数字轮廓中确定多余点集的新颖技术。点画派运动是一种点画运动,会在观众的眼中融合在一起,是19世纪后期法国某些新印象派画家开发的。为了提取代表点集,我们首先考虑构成轮廓的数字笔直零件,然后获得以紧凑形式逼近边界曲线的数字多边形V。根据其有序顶点集定义的多边形V又被位于其数字边上的多余的伪顶点集V所代替,因此V和V的并集产生了一个无序点集,从而消除了该点集顶点有序但捕获了基础几何有序性和定义原始对象边界的邻域关系。可以通过控制一个称为点画因子的参数来选择伪顶点,该点以点集的最近邻相关性控制我们的视觉感知。可以对点画法因素进行控制,以控制其无序点集的基础对象的突出程度-这是一项强大的成果,它建立了有关通过最佳或次优大小的无序点集捕获形状信息的能力的技术。我们还给出了重建过程以及与相关描述符有关的错误分析。在几个数据库上的实验结果证明了它的优雅和有效性。

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