Cultural relic fragment splicing method and system, medium, equipment and terminal
A technology of debris and cultural relics, applied in the field of 3D point cloud registration, can solve the problems of cultural relics destruction, high degree of subjective experience, cumbersome manual movement, etc., and achieve strong robustness
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Embodiment 1
[0083] The samples of the Terracotta Warriors fragments of the present invention are three-dimensional point cloud data. Referring to FIG. 5, feature extraction is performed for each three-dimensional point cloud fragment. In the first extraction process, the curvature and normal vector of the points on the fracture surface of the fragment are first calculated, and the normal vector is calculated. Calculate the mean value of the inner product δ and calculate the Euclidean distance variance S between each point in the neighborhood and the neighborhood fitting plane L, and combine the above geometric features to define the neighborhood feature parameters Among them, N is the number of sampling points, and η is a balance parameter introduced to balance the large difference between the neighborhood curvature ε and the Euclidean distance variance S. Since the neighborhood curvature ε is affected by the estimated value, there will be non-feature points in the extracted feature point ...
Embodiment 2
[0091] The fragment data of the Terracotta Warriors in this embodiment is three-dimensional point cloud data, and the following describes the fragment data as three-dimensional point cloud data. The fragment data of the Terracotta Warriors used in the present invention is obtained by scanning with a three-dimensional scanner, and the fragment data is denoised and redundant, and the data is simplified. splicing effect display, such as Figure 9 , 10 shown. Due to the influence of natural and human factors, most of the fragments of the Terracotta Warriors and Horses are defective. For slightly damaged models, the algorithm of the present invention can well realize splicing, such as Figure 9 shown; for models with severe defects, such as Figure 10 As shown, the algorithm of the present invention also has strong robustness and accuracy, and the splicing result is basically not affected by it. The following are the specific implementation steps:
[0092] The first step is t...
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