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A FINITE ELEMENT CONTOUR APPROACH TO AFFINE INVARIANT SHAPE REPRESENTATION

机译:仿射不变形状表示的有限元轮廓方法

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This paper ~1 presents a novel shape representation approach, Finite Element Contour (FEC), based on studies of shape analysis from the perspective of Finite Element Method (FEM). We assume that an edge of a contour can be modeled as a bendable beam element. Linking finite number of beam elements end to end along the contour, we obtain a closed-loop Finite Element Contour model as an approximate physical model of the original shape. By this model, we can calculate its natural frequency, which is one of mechanical properties that directly related to the geometric shape, and employed it as the shape representation. FEC shape feature possesses translation and rotation invariant properties naturally. We also realized scale and unique affine normalization in few simple steps based on intrinsic physical properties of shape from FEM viewpoint. Experimental results validated that the proposed FEC feature is capable of identifying shape in object recognition task. It also can describe shape deformation. In the well-known MPEG 7 shape retrieval task, the enhanced FEC approach obtains Bullseye score 87.11%.
机译:本文〜1提出了一种新的形状的表示方法中,有限元轮廓(FEC),基于从有限元法(FEM)的立体形状分析的研究。我们假设一个轮廓的边缘可以被建模为可弯曲的梁元件。连接梁元件的有限数量的结束沿轮廓端,我们得到了一个闭环有限元轮廓模型作为原始形状的近似物理模型。利用该模型,我们可以计算出其固有频率,这是直接相关的几何形状的机械性能中的一个,并采用其作为形状表示。 FEC形状特征具有平移和旋转不变性质自然。我们也实现了规模和独特的仿射正常化的基础上,从FEM观点形状的固有物理特性几个简单的步骤。实验结果验证了所提出的FEC特征是能够在对象识别任务识别形状。它也可以描述形状变形。在公知的MPEG 7形状检索任务中,增强的FEC方法取得舷窗得分87.11%。

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