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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >3D object retrieval using the 3D shape impact descriptor
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3D object retrieval using the 3D shape impact descriptor

机译:使用3D形状影响描述符进行3D对象检索

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摘要

in this paper, the novel 3D shape impact descriptor is introduced, which is based on the resulting gravitational phenomena in the Surrounding area of every 3D object. The 3D object is considered as a distributed 3D mass and the descriptor of the 3D object is indirectly computed from the resulting fields. The field is described using both Newton's and general relativity's laws. In the Newtonian approach, histograms Of the field values in the surrounding area of the 3D object are computed, while in the relativistic approach the descriptors are histograms of the time-space curvature in the Surrounding area of the 3D object. The basic motivation behind the proposed approach is the robustness with respect to object's degeneracies and the native invariance of the resulting descriptors under rotation and translation. Experiments which were performed in Various 3D object databases proved that the proposed method can be efficiently used for 3D object retrieval applications.
机译:本文基于每个3D对象周围区域产生的重力现象,介绍了新颖的3D形状影响描述子。 3D对象被视为分布式3D质量,并且从结果字段间接计算3D对象的描述符。该字段使用牛顿定律和广义相对论定律进行描述。在牛顿方法中,计算3D对象周围区域中的场值的直方图,而在相对论方法中,描述符是3D对象周围区域中时空曲率的直方图。所提出的方法背后的基本动机是针对对象的简并性以及在旋转和平移下生成的描述符的固有不变性。在各种3D对象数据库中进行的实验证明,该方法可以有效地用于3D对象检索应用程序。

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