A study on stone tool identification based on depth image and 3D point cloud

Yoshiki Sawada; Amartuvshin Renchin-Ochir; Kouichi Konno

doi:10.1117/12.2590782

13 March 2021 A study on stone tool identification based on depth image and 3D point cloud

Yoshiki Sawada, Amartuvshin Renchin-Ochir, Kouichi Konno

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 117662E (2021) https://doi.org/10.1117/12.2590782
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

Many researchers are eager to study the stone tool production process based on ancient stone tools that were excavated from ruins. The assembly and disassembly of joining materials are repeated many times for investigation that is a better way to understand the stone tool production process. In our previous work, we have implemented an interactive assembly guiding program using the contours of stone tool images taken by an RGB camera. However, this method was not suitable for thick stone tools. In this work, we examine stone tool identification methods by using an RGB-D camera and 3D point cloud processing.

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Yoshiki Sawada, Amartuvshin Renchin-Ochir, and Kouichi Konno "A study on stone tool identification based on depth image and 3D point cloud", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117662E (13 March 2021); https://doi.org/10.1117/12.2590782

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