Abstract
The stone tools excavated from the ruins are washed, given identification number, classified for assembly, and then assembled. After that, each stone tools are investigated to know its manufacturing method and usage. However, since the identification information may be lost in the process of investigation, a system that automatically presents the identification number from the actual stone tool is required. This paper propose a method for identifying real stone tools measured by an RGB-D camera in order to automate the identification of stone tools. In this method, the point cloud of the stone tool measured by an RGB-D camera, and the point cloud that has been scanned in advance are compared by an algorithm that combines 2D and 3D methods. As the result stone tool becomes identified. Specifically, by combining the matching method using 2D contours and the ICP algorithm, we have achieved faster processing and higher discrimination accuracy. As a result of creating a database of 82 stone tool point cloud data constructed from 24 stone tools and applying this method to some stone tools, good results were obtained.
