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基于关键点特征描述子的三维文物碎片重组

3D Archaeological Fragment Reassembly Based on Feature Descriptors of Key Points

  • 摘要: 对多个文物碎片进行重组时,确定文物碎片之间的邻接关系时间复杂度非常高;文物断裂部位因受损而存在一定的几何特征缺失,仅依靠断裂区域的几何特征进行拼接或重组难免会出现错误.鉴于此,提出一种基于关键点特征描述子的三维文物碎片重组方法.首先利用已有的文物"模板",采用内在形状签名算法提取文物"模板"和文物碎片原始面上的关键点;然后计算关键点的快速点特征直方图特征描述子;再通过比较其相似性来确定文物碎片在"模板"上的对应位置,即确定各个碎片断裂面之间的邻接关系;最后采用顺序拼合的方式及迭代最近点算法对多个碎片进行重组.实验结果表明,该方法能够有效地提高文物碎片虚拟拼接的效率.

     

    Abstract: The time complexity was very high for determining adjacency relationship of the fragments,when reassembling archaeological fragments.Due to damaged,there was somewhat geometrical characteristic missing in the fracture surface of cultural relics.It can lead to some errors for matching or reassembling.This paper proposed an effective reassembly pipeline based on feature descriptors of key points.Firstly,the integrated template with similar geometry to the patchwork was available in some reassembly tasks,and Intrinsic Shape Signature(ISS)algorithm was used to extract key points on intact regions of the model and fractured fragment respectively.Then,the Fast Point Feature Histograms(FPFH)feature descriptors were calculated;The adjacency relations between the fracture surfaces were determined by comparing the similarity of FPFH feature descriptor.Finally,multiple fragments were reorganized by sequential splicing and Iterative Closest Point(ICP)algorithm was used to achieve fine registration.The experimental results show that the proposed method can improve efficiency of 3D archaeological fragment reassembly.

     

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