A study on algorithm to extract stone tool surfaces from measured point clouds of joining materials based on images

Tsukasa Takahashi; Kouichi Konno

doi:10.1117/12.2625983

30 April 2022 A study on algorithm to extract stone tool surfaces from measured point clouds of joining materials based on images

Tsukasa Takahashi, Kouichi Konno

Author Affiliations +

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217729 (2022) https://doi.org/10.1117/12.2625983
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

Stone tools were created and used for daily life during the Paleolithic and Jomon periods. Excavated stone tools and flakes are joined together to recreate the mother rock, and are referred to as a joining material. By analyzing the joining materials and reproducing the stone tool manufacturing process, various information such as the stone tool maker’s manufacturing intentions, behaviors, technical abilities, and living ranges can be obtained. Conventionally, the created joining materials were recorded with photographs and scale drawings. In recent years, as a more accurate and stable method, recording based on three-dimensional point clouds using 3D scanners has also been performed. Unfortunately, these types of measurements can obtain only outer flake surfaces of the joining material, which means the stone tools inside the joining material are hardly recognized. To obtain the assembly order of flakes and the spatial posture of the stone tools from the measured outer point clouds, it is necessary to identify each stone tool by recognizing outer flake surfaces by segmentation of surface point clouds. In this paper, we propose a method to segment each stone tool from surface point clouds obtained by 3D-measured joining materials.

Citation Download Citation

Tsukasa Takahashi and Kouichi Konno "A study on algorithm to extract stone tool surfaces from measured point clouds of joining materials based on images", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217729 (30 April 2022); https://doi.org/10.1117/12.2625983

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
4 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Clouds

Image segmentation

3D scanning

Manufacturing

Photography

Data processing

Visualization

Show All Keywords

Keywords/Phrases

Search In:

Publication Years