![]() ![]() Ge Y, Tang H, Xia D, Wang L, Zhao B, Teaway JW, Chen H, Zhou T (2018) Automated measurements of discontinuity geometric properties from a 3D-point cloud based on a modified region growing algorithm. Gao Y, Du Z, Xu W, Li M, Dong W (2019) HEALPix-IA: a global registration algorithm for initial alignment. Ĭohen F, Zhang Z, Liu Z (2016) Mending broken vessels a fusion between color markings and anchor points on surface breaks. Experimental results with real datasets demonstrated the validity and effectiveness of the proposed method.Īltantsetseg E, Matsuyama K, Konno K (2014) Pairwise matching of 3D fragments using fast Fourier transform. Compared with a traditional Gaussian sphere model based on a normal vector and curvature, the proposed method can improve the screening accuracy and average calculation speed by 6.60% and 16.08%, respectively. ![]() The average screening accuracy of our final method is 93.87% and the calculation time is 9.7 s. This reassembly framework is effective for broken bowl-shaped pieces. Finally, a fine alignment step was conducted using the iterative closest point method. In this way, the rough alignment step was completed. The similarity function, which was defined to describe the global characteristics of the EGS model, can help the program to automatically screen the two most similar broken pieces to be matched. The EGS model was then used to represent the geometric and color information of the inner surface boundary. First, the inner surface was identified based on the proportion of the point cloud and the smoothness of the broken pieces, thereby avoiding over-segmentation. Herein, a reassembly framework based on an extended Gaussian sphere (EGS) and a similarity function is proposed. Screening of the best matching pair of broken pieces of 3D cultural relics is an important step in realizing their automatic reassembly. ![]()
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