Application of Three-Dimensional Laser Scanning in the Protection of Multi-Dynasty Ceramic Fragments

Abstract

The number of fragments and the variety of primitive cultural relics unearthed in archaeology, especially the mixed fragments of several dynasties unearthed in Qinglong town, Shanghai, pose a great challenge to the manual splicing. The traditional manual comparison method is easy to cause the second damage to the cultural relics. In this paper, the edge feature is extracted based on removing the noise of point cloud, a bilateral filtering point cloud denoising algorithm based on salient features is proposed. By changing the step size and field of view, the Improved Artificial Fish Swarm Algorithm is used to get the matching strategy, and the point cloud is used to reconstruct 3D model by the Dual Quaternion Transformation method. The pairing of fragments and virtual reconstruction can effectively avoid the secondary damage of cultural relic fragments. It provides a feasible artificial intelligence solution for the protection and restoration of similar archaeological excavations.

Research on Digital Restoration of Plain Unlined Silk Gauze Gown of Mawangdui Han Dynasty Tomb Based on AHP and Human–Computer Interaction Technology

“…Compared with traditional silk fabric protection technology [8,9], the color of the clothes produced by virtual simulation is more vivid and durable. Compared with the traditional digital restoration of rigid cultural relics [16][17][18][19][20][21][22][23][24][25], the research method combining reverse engineering and virtual simulation proposed in this paper provides a reference for the digital restoration of flexible cultural relics.…”

“…Hou et al proposed a virtual restoration method of stains on ancient paintings with maximum noise fraction transformation based on hyperspectral imaging [24]. Liu et al proposed a bilateral filtering point cloud denoising algorithm based on salient features to reconstruct a 3D model of cultural relic fragments [25]. The above research mainly focuses on rigid cultural relics, whereas textile cultural relics are flexible objects.…”

Research Progress in the Splicing and Restoration of Artifact Fragments Based on Point Cloud

“…For 3D point clouds, the density of the point cloud distribution around the sampling points can be used to determine whether they are edge points. Liu E. etc (Liu E., 2020) projected the point cloud onto a two-dimensional plane, if the K-neighborhood projection points of the sample points were evenly distributed around them, then the sample points are non-edge points, otherwise, the sample points are edge feature points. But this method can cause blurring in the extraction of critical points On this basis, Chen Y.R.…”

“…In the process of finding adjacency fragments, the essence of comparing all fragments one by one is an iterative calculation, in which the feature matching degree is obtained, and if the matching degree is greater than a certain threshold, the two fragments containing the two sets of features can be judged as adjacency fragments. During the violent retrieval process, Liu E., etc (Liu E., 2020) used Artificial Fish Swarm Algorithm (AFSF) (Yazdani, D., 2011) to dynamically change the search length and step size, improving efficiency and accuracy. Gao H.J., etc (Gao H.J., Geng G.H., Wang P., 2019.)…”

3D point cloud global denoising algorithm based on different noise characteristics

“…It has a certain ability to protect the feature region of the point cloud, which can protect the feature region from being over-smoothed to a certain extent when smoothing the noise, but its effect is not yet ideal. Liu et al [33] modified the standard deviation of normal and distances of the bilateral filtering, which improves the ability to maintain the edge features to a certain extent. Although bilateral filtering has some capacity to protect point cloud characteristics, its overall smoothing of smallscale noise is inadequate.…”