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Normalization and Alignment of 3D Objects Based on Bilateral Symmetry Planes

机译:基于双边对称平面的3D对象的归一化与对准

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Recent advancements in 3D scanning technologies have inspired the development of effective methods for matching and retrieving 3D objects. A common pre-processing stage of these retrieval methods is to normalize the position, size, and orientation of the objects based on PCA. It aligns an object’s orientation based on PCA eigenvectors, and normalizes its size uniformly in all 3 spatial dimensions based on the variance of the object points. However, orientation alignment by PCA is not robust, and objects with similar shape can be misaligned. Uniform scaling of the objects is not ideal because it does not take into account the differences in the objects’ 3D aspect ratios, resulting in misalignment that can exaggerate the shape difference between the objects. This paper presents a method for computing 3D objects’ bilateral symmetry planes (BSPs) and BSP axes and extents, and a method for normalizing 3D objects based on BSP axes and extents. Compared to normalization methods based on PCA and minimum volume bounding box, our BSP-based method can normalize and align similar objects in the same category in a semantically more meaningful manner, such as aligning the objects’ heads, bodies, legs, etc.
机译:在3D扫描技术的最新发展,激发了有效的方法来匹配发展和检索3D对象。这些检索方法的一个共同预处理阶段是标准化的位置,大小,以及基于PCA的对象的方向。它对准基于PCA特征向量的对象的方向,并均匀地进行归其大小在基于对象点的方差所有3种的空间尺寸。然而,PCA方向排列并不十分可靠,并具有类似形状的物体可以对齐。因为它没有考虑到在对象的三维长径比差,从而导致未对准,可以夸大对象之间的形状差异的对象的均匀缩放是不理想的。本文提出了一种计算3D对象的双边对称面(的BSP)和BSP轴和程度的方法,以及用于正火3D的方法对象基于BSP轴和范围。相比于基于PCA和最小体积边界框归一化方法,我们的基于BSP-方法可以正常化,并且在语义上更有意义的方式相同的类别对齐相似的对象,诸如对准的对象的头部,身体,腿等

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