Study on Earthenware Fragment Assembly System Based on Estimating Spatial Arrangement of Earthenware Fragments

Restoration of earthenware fragments is an important task in archaeology.Earthenware fragments excavated from archaeological sites are restored by hand, but there is a risk of defacement or damage to the fragments.Computer-aided restoration methods have been proposed.For example, there is a system in which fragments are arranged on a twodimensional panel and assembled by the user as if they were a puzzle.For efficient assembly, it is important to clarify the vertical direction of each fragment.For this purpose, a method has been proposed to estimate the vertical direction from a point cloud, assuming that a fragment is placed on a desk.However, this method may result in estimating an inverted posture.Therefore, this paper proposes a method for accurately estimating the vertical direction of a fragment by linear regression using a three-dimensional point cloud.In addition, the fragments were initially placed in a two-dimensional panel based on the vertical direction of the fragment and the radius of the circle approximated from each cross-section of the fragment.Subsequently, the system was developed to virtually assemble the fragments in three-dimensional space by interactively manipulating the fragments on the two-dimensional panel.

Authors

Institutions

Publication Details

Journal
The Journal of the Society for Art and Science
Published
2025-06-30
DOI
https://doi.org/10.3756/artsci.24.5_1
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on Earthenware Fragment Assembly System Based on Estimating Spatial Arrangement of Earthenware Fragments

Tsutomu Kinoshita, Mengbo You, Kouichi Konno, T. Kawashima
1 links
The Journal of the Society for Art and Science
Image Processing and 3D Reconstruction
article

Study on Earthenware Fragment Assembly System Based on Estimating Spatial Arrangement of Earthenware Fragments

Tsutomu Kinoshita, Mengbo You, Kouichi Konno, T. Kawashima
article en

Abstract

Restoration of earthenware fragments is an important task in archaeology.Earthenware fragments excavated from archaeological sites are restored by hand, but there is a risk of defacement or damage to the fragments.Computer-aided restoration methods have been proposed.For example, there is a system in which fragments are arranged on a twodimensional panel and assembled by the user as if they were a puzzle.For efficient assembly, it is important to clarify the vertical direction of each fragment.For this purpose, a method has been proposed to estimate the vertical direction from a point cloud, assuming that a fragment is placed on a desk.However, this method may result in estimating an inverted posture.Therefore, this paper proposes a method for accurately estimating the vertical direction of a fragment by linear regression using a three-dimensional point cloud.In addition, the fragments were initially placed in a two-dimensional panel based on the vertical direction of the fragment and the radius of the circle approximated from each cross-section of the fragment.Subsequently, the system was developed to virtually assemble the fragments in three-dimensional space by interactively manipulating the fragments on the two-dimensional panel.

The Journal of the Society for Art and ScienceVol. 24(2)
Tokyo Electron (Japan) (JP), Iwate University (JP), Tohoku Gakuin University (JP)
Openalex Percentile: Top 83%
Image Processing and 3D Reconstruction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.