Abstract
The virtual restoration of cultural relics by adopting computer technology is the trend of cultural relics protection and value mining. In order to solve the problem of large error in the existing matching methods of non-thin-walled cultural relic fragments, in this paper, a matching method of cultural relic fragments is proposed, when the thickness feature and the contour feature are combined, and the strategy of coarse matching followed by fine matching is adopted. Firstly, the broken contour of cultural relic fragments is extracted, and the upper and lower contour lines are identified; secondly, the thickness feature is calculated and the thickness histogram is constructed. After that, the initial matching of fragments is completed according to the similarity of the histogram. Thirdly, the fracture contour is segmented, and the fragments of the mismatching relationship in the initial matching are also eliminated by the modified Hausdorff distance to optimize the coarse matching results. Finally, the SVD method is adopted to solve the rigid body transformation parameters, and the ICP algorithm is employed to accurately align the fine matching. The experimental results show that with the method in this paper, excellent matching results have been obtained regarding the fragments of the Terracotta Warriors. Compared with matching methods of other cultural relic fragments, the accuracy and algorithm cost of this method are better.
Highlights
As precious relics left by human beings in the social activities of historical development, cultural relics directly reflect the important process of human culture and social development
Based on the above ideas, to match the fragments of cultural relics, this paper proposes a method, which combines the thickness features and contour features of fragments for solving the problem of matching the fragments of cultural relics with serious fracture surface defects
In order to obtain more accurate matching results, we introduce the contour of the fracture surface to constrain and optimize the rough matching results
Summary
As precious relics left by human beings in the social activities of historical development, cultural relics directly reflect the important process of human culture and social development. Based on the above ideas, to match the fragments of cultural relics, this paper proposes a method, which combines the thickness features and contour features of fragments for solving the problem of matching the fragments of cultural relics with serious fracture surface defects. The main idea is to use the features of curvature change and normal vector difference to find the most violent change on the surface, get the boundary feature points, and further calculate the closed curves through curve fitting and other methods. These curves can divide the whole model into multiple disjoint areas, and get the result of surface segmentation.
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