Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ikeuchi, K., Oishi, T., et al.: 3D Digital Archiving. University of Tokyo Press (2010). (in Japanese)
Ukida, H.: 3D shape measurement system by integration of partial shapes and automatic defects detection. J. JSNDI 67(7), 324–328 (2018). (in Japanese)
Ukida, H., Sasao, T., Terada, K., Yoshida, A.: Calibration method of 3D shape measurement system using 3D scanner, turn-table and arm-robot. In: Proceedings of the SICE Annual Conference 2019, pp. 136–141 (2019)
Ishikawa, H.: Graph cut. IPSJ SIG Technical report, 2007-CVIM-158, no. 26, pp. 193–204 (2007). (in Japanese)
Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9), 1124–1137 (2004)
Fujita, H., et al.: Introduction to Medical Image Processing in Python, Ohmsha, Tokyo (2020). (in Japanese)
Acknowledgment
We would like to offer our special thanks to Mr. Kenji Sato (Tokushima Prefectural Awa Jurobe Yashiki (Puppet Theater and Museum)) and Mr. Yoichiro Amari (Joruri puppet producer) to lend us puppet heads. We would like to thank to Mr. Yoshitaka Hatakenaka and Hinata Ikeda to cooperate with experiments. This work was supported by JSPS KAKENHI Grant Number JP18K18483.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ukida, H., Yamazoe, K., Tominaga, M., Sasao, T., Terada, K. (2022). 3D Shape Reconstruction of Japanese Traditional Puppet Head from CT Images. In: Sumi, K., Na, I.S., Kaneko, N. (eds) Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science, vol 1578. Springer, Cham. https://doi.org/10.1007/978-3-031-06381-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-031-06381-7_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06380-0
Online ISBN: 978-3-031-06381-7
eBook Packages: Computer ScienceComputer Science (R0)