3D Shape Reconstruction of Japanese Traditional Puppet Head from CT Images

Material type: 図書

Author: Ukida, Hiroyukiほか

Publisher: Springer

Publication date: 2022-05-17

Material Format: Digital

Capacity, size, etc.: -

NDC: -

View All

Notes on use

Note (General)：: In this paper, we discuss a 3D shape reconstruction method of Japanese traditional puppet heads for a digital archiving. Especially, to reconstruct an...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

Tokushima University Institutional Repository
Digital
You can check the holdings of institutions and databases with which 学術機関リポジトリデータベース（IRDB）（機関リポジトリ） is linked at the site of 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）.
Tokushima University Institutional Repository

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: 図書
Title: 3D Shape Reconstruction of Japanese Traditional Puppet Head from CT Images
Author/Editor: Ukida, Hiroyuki
Yamazoe, Kouki
Tominaga, Masahide
Sasao, Tomoyo
Terada, Kenji
Author Heading: Ukida, Hiroyuki
Yamazoe, Kouki
Tominaga, Masahide
Sasao, Tomoyo
Terada, Kenji
Publication, Distribution, etc.: Springer
Publication Date: 2022-05-17
Publication Date (W3CDTF): 2022-05-17
Periodical title: Frontiers of Computer Vision
Pages: 49-63
ISSN (Periodical Title): ISSN : 1865-0929
ISSN : 1865-0937
Text Language Code: eng
Subject Heading: X-ray CT images
Puppets
Shape reconstruction
Graph cut method
Machine learning
Target Audience: 一般
Note (General): In this paper, we discuss a 3D shape reconstruction method of Japanese traditional puppet heads for a digital archiving. Especially, to reconstruct an inner shape of head, we use CT images. First, we divide four regions (wood, hair, paint, and air) by thresholds based on manual directed regions. After that, we divide these regions by a graph cut method. And we also present a method to estimate 3D shape of parts in puppet head. This method is also based on a graph cut method. Moreover, we also discuss a method to distinguish material of puppet head by machine learning. Here we use “U-Net” to extract wood parts of puppet head from its CT images. And we show experimental results by these methods.
Source: http://repo.lib.tokushima-u.ac.jp/files/public/11/118059/20230313113605108473/fcv2022_49.pdf
http://repo.lib.tokushima-u.ac.jp/files/public/11/118059/20230313113605108473/fcv2022_49.pdf
Access Restrictions: 限定公開
Related Material (DOI): 10.1007/978-3-031-06381-7_4
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 徳島大学 : 徳島大学機関リポジトリ