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Visualizing Variability in Ceramic Micro-Curvature though Novel 3D Morphometric Mapping and Sliced Segmental Extraction Cover

Visualizing Variability in Ceramic Micro-Curvature though Novel 3D Morphometric Mapping and Sliced Segmental Extraction

Open Access
|Aug 2022

Figures & Tables

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Figure 1

The northern Kyushu region. A: The Japanese archipelago and northern Kyushu region are outlined in the red square; B: The northern Kyushu region and Fukuoka plain subregion utilized in the present study.

Table 1

Samples utilized in this study with corresponding traditional typological “type” and notes on the preservation of the vessel.

VESSEL CODESURVEY #TYPENOTES
T13Itazuke Ia (1)Fair preservation
T23Itazuke Ia (2)Slight lip paste reconstruction
T36Itazuke Ia (2)No lip region
T46Itazuke Ia (2)Sherd reconstruction
T53Itazuke Ia (2)Fair preservation
T63Itazuke Ia (2)Base sherd reconstruction
T76Itazuke Ia (1)No lip region
T86Itazuke Ia (2)Slight body paste reconstruction
T93Itazuke Ia (2)Fair preservation
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Figure 2

A tsubo globular pot. The pronounced outward curvature of the lip and heart-shaped body connected to a slabbed base are characteristic of this style of pot in this region. (example shown here: Shimotsukiguma-Tenjinmori site, No. T5).

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Figure 3

Early Yayoi period tsubo pots from the Tenjinmori site. Nine examples are utilized in this case study.

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Figure 4

Morphometric mapping (MM) and sliced segmental extraction (SSE) workflow; from mesh manipulation, cloud manipulation, scalar field projection, and MM/SSE extraction.

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Figure 5

The CloudCompare operating environment.

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Figure 6

Orientation process using the “level” tool. A: An un-orientated vessel; B: Choosing three points for orientating the mesh; C: A vessel correctly base-orientated.

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Figure 7

Sampling 3D point cloud from mesh data and the unrolling process. A: A vessel point cloud with 1,000,000 sampled points. B: An unrolled point cloud. C: An unrolled point cloud viewed from the side, with clarified curvature patterns.

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Figure 8

Projection of scalar field on regular vs. unrolled mesh data. Unrolled data allows for the visualization of curvature of the full vessel.

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Figure 9

Scalar field projection on unrolled point clouds. A: Standard blue > green > yellow > red color scale (blue refers to the region closest to the Y axis, in this case the body); B: “High contrast” color scale revealing different curvature patterns on both the body and lip/neck regions of the example vessel; C: 2D representation of the full unrolled cloud.

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Figure 10

Sectional point cloud extracted using the “Filter points by value” tool. A: Choosing regions of particular interest; B: Extracting point clouds and applying separate scalar field values; C: Rotating and orientating the point cloud to visualize easily the detailed curvature of the vessel form.

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Figure 11

Contour line extraction through polyline drawing. A: 5-mm steps between each open contour line; B: Contour lines are drawn on the extracted body cloud; C: Extracted contour lines showing the clear curvature of the body of the vessel.

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Figure 12

Sliced segmental extraction of the whole-vessel form; white/dark red regions are areas of inward curvature, and green/light blue regions are areas of extreme outward curvature. A: A normal morphometric mapping output; B, C: Sliced 5-mm segments clarify the detailed curvature; D: Each sliced segment can be examined individually and exported as a separate mesh data file.

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Figure 13

Morphometric mapping of sample T1. A: Base orientation; B: Lip orientation.

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Figure 14

Sliced segmental extraction of sample T1. A: Base orientation; B: Lip orientation.

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Figure 15

Six categorical regions of morphological importance on example vessels; descriptions of morphometric mapping are organized based on these six regions. A: Six morphological regions overlaid on a 2D line drawing of an example vessel; B: Six morphological regions overlaid on morphometric mapping.

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Figure 16

Sample T1 MM and SSE output.

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Figure 17

Sample T2 MM and SSE output.

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Figure 18

Sample T3 MM and SSE output.

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Figure 19

Sample T4 MM and SSE output.

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Figure 20

Sample T5 MM and SSE output.

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Figure 21

Sample T6 MM and SSE output.

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Figure 22

Sample T7 MM and SSE output.

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Figure 23

Sample T8 MM and SSE output.

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Figure 24

Sample T9 MM and SSE output.

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Figure 25

Example of a potential scoring system for mid-body region curvature patterns.

DOI: https://doi.org/10.5334/jcaa.89 | Journal eISSN: 2514-8362
Language: English
Submitted on: Jan 27, 2022
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Accepted on: Jun 20, 2022
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Published on: Aug 3, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 James Frances Loftus III, Noriko Seguchi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.