Laser scanning and photogrammetry are the methods to obtain the surface point cloud of an object. Laser scanning can measure the actual size, but some missing spots might appear if the laser does not reach the object surface. In contrast, photogrammetry cannot measure the actual size of an object, but missing spots are less likely to appear. By using laser-scanned point clouds and photogrammetric ones together, it will be possible that point clouds of the object’s actual size will be obtained without any missing surface spots. However, it takes time and effort to perform laser scanning and photogrammetry and synthesize the obtained point clouds. Therefore, this paper proposes a method that can automatically measure laser scanning and photogrammetry to improve the efficiency of actual-size point cloud acquisition without missing spots. To confirm the efficiency of our method, the surfaces of an oyster shell and a bird doll are measured as examples. As the result, point clouds without missing spots are obtained.
When a large number of stone tools need to be studied, a unique identification number is assigned to each stone tool to distinguish one from the others. Since most of the current methods of stone tool management are operated manually, identification information may be lost in the process of research. Therefore, a new system is required to provide the identification numbers automatically from actual stone tools. The previous study proposed an identification method that realizes matching using stone tool silhouettes and the ICP algorithm. However, it is difficult to identify stone tools if they are thick because the matching method is based on two-dimensional approach. According to Chida et al., the improvement of performance is achieved using D2 distribution to narrow down candidates as a preprocessing step for stone tool matching. This paper proposes a method that realizes matching including D2 distribution, which enables 3D comparison, with the methods of the previous study to achieve higher identification accuracy.
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