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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Recognition of polyhedral objects using triplets of projected spatial edges based on a single perspective image
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Recognition of polyhedral objects using triplets of projected spatial edges based on a single perspective image

机译:基于单个透视图图像的三重投影空间边缘识别多面体对象

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摘要

A novel and intuitive mathematical formulation is proposed for the interpretation of the geometric relationships of a triple of spatial edges and their perspective projection forming image lines. No restriction is imposed on the configuration of the triple of spatial edges. An eighth-degree polynomial equation explicitly defined by the space angles between the corresponding three spatial edges in an object frame is derived. The crux of this representation is that the angular attributes of pairs of spatial edges are expressed in an object-independent coordinate system. An effective hypothesis generation scheme is proposed which can take advantage of the representation. In the proposed recognition framework, triples of connected spatial edges and trihedral vertices are employed as key features for model invocation, hypothesis generation and pose estimation. Extensive experiments are performed to verify the plausibility and robustness of the proposed recognition methods. In general, the success rate for identifying and localising polyhedral objects using the proposed recognition method is relatively high. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 14]
机译:提出了一种新颖直观的数学公式来解释三重空间边缘及其形成图像线的透视投影的几何关系。对三重空间边缘的配置没有限制。推导了一个八次多项式方程,该方程由一个对象框架中相应的三个空间边之间的空间角明确定义。这种表示的症结在于,在与对象无关的坐标系中表达了空间边缘对的角度属性。提出了一种有效的假设生成方案,该方案可以利用该表示。在提出的识别框架中,连接的空间边缘和三面体顶点的三元组被用作模型调用,假设生成和姿势估计的关键特征。进行了广泛的实验,以验证所提出的识别方法的合理性和鲁棒性。通常,使用所提出的识别方法来识别和定位多面体对象的成功率相对较高。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:14]

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