ROSy+: 3D Object Pose Normalization Based on PCA and Reflective Object Symmetry with Application in 3D Object Retrieval

ROSy+: 3D Object Pose Normalization Based on PCA and Reflective Object Symmetry with Application in 3D Object Retrieval
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DOI:
10.1007/s11263-010-0395-x
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发表时间:
2011-02
影响因子:
19.5
通讯作者:
K. Sfikas;T. Theoharis;I. Pratikakis
K. Sfikas;T. Theoharis;I. Pratikakis
中科院分区:
计算机科学2区
文献类型:
--
作者:
K. Sfikas;T. Theoharis;I. Pratikakis

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提出了一种基于三维物体反射对称性的位姿归一化方法。它是一种通用的全局姿态归一化方法;在本文中,它被用来提高3D对象检索管道的性能。最初,通过要求3D对象相对于其边界框面的法线也具有最小角度差来修改刚性3D对象的轴对齐最小边界框。为了估计经修改的轴对准边界框,使用一组预定义的对称平面,并且计算3D对象与其对称对象之间的组合空间和角距离。通过最小化组合距离,3D对象适合其修改的轴对齐边界框内,并实现与坐标系的对齐。所提出的方法被纳入一个混合计划,作为对齐方法在3D对象检索系统。的3D对象检索系统的有效性,使用的混合姿态归一化方案,在检索精度方面进行评估,并证明使用定量和定性的措施,通过广泛的一致性评价标准基准。结果清楚地表明,与当前方法相比,性能有所提高。
A novel pose normalization method based on 3D object reflective symmetry is presented. It is a general purpose global pose normalization method; in this paper it is used to enhance the performance of a 3D object retrieval pipeline. Initially, the axis-aligned minimum bounding box of a rigid 3D object is modified by requiring that the 3D object is also in minimum angular difference with respect to the normals to the faces of its bounding box. To estimate the modified axis-aligned bounding box, a set of predefined planes of symmetry are used and a combined spatial and angular distance, between the 3D object and its symmetric object, is calculated. By minimizing the combined distance, the 3D object fits inside its modified axis-aligned bounding box and alignment with the coordinate system is achieved. The proposed method is incorporated in a hybrid scheme, that serves as the alignment method in a 3D object retrieval system. The effectiveness of the 3D object retrieval system, using the hybrid pose normalization scheme, is evaluated in terms of retrieval accuracy and demonstrated using both quantitative and qualitative measures via an extensive consistent evaluation on standard benchmarks. The results clearly show performance boost against current approaches.