| ID | 118059 |
| 著者 |
Yamazoe, Kouki
Tokushima University
|
| キーワード | X-ray CT images
Puppets
Shape reconstruction
Graph cut method
Machine learning
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| 資料タイプ |
図書
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| 抄録 | 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.
|
| ISBN | 9783031063817
9783031063800
|
| 掲載誌名 |
Frontiers of Computer Vision
|
| ISSN | 18650929
18650937
|
| 出版者 | Springer
|
| 開始ページ | 49
|
| 終了ページ | 63
|
| 発行日 | 2022-05-17
|
| 備考 | 28th International Workshop, IW-FCV 2022, Hiroshima, Japan, February 21–22, 2022, Revised Selected Papers
Part of the book series: Communications in Computer and Information Science (CCIS, volume 1578) |
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| 言語 |
eng
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| 著者版フラグ |
著者版
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| 部局 |
理工学系
医学系
地域創生センター
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