International Journal of Networked and Distributed Computing

Volume 7, Issue 3, August 2019, Pages 113 - 120

Do You Like Sclera? Sclera-region Detection and Colorization for Anime Character Line Drawings

Authors
Masashi Aizawa*, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga
Department of Informatics, The University of Electro-Communications, Tokyo, Japan
*Corresponding author. Email: aizawa.masashi@ohsuga.lab.uec.ac.jp
Corresponding Author
Masashi Aizawa
Received 13 March 2019, Accepted 8 May 2019, Available Online 5 August 2019.
DOI
https://doi.org/10.2991/ijndc.k.190711.001How to use a DOI?
Keywords
Line drawing, colorization, sclera region, segmentation
Abstract

Colorizing line drawings requires special skill, experience, and knowledge. Artists also spend a great deal of time and effort creating art. Given this background, research on automated line drawing colorization was recently conducted. However, the existing approaches present multiple problems, one of which is the inconsistency of the whites of the eyes (sclera) between line drawings and the results of colorizing. In particular, in line drawings, a person’s skin and sclera are often expressed in white. Hence, there are cases in which existing colorization methods cannot predict the boundary correctly. In this study, we propose automated colorization methods that use machine learning to segment sclera regions in grayscale line drawings. To improve the accuracy of previous automated colorization approaches, we implemented sclera-region detection and an automated colorizing approach on grayscale line drawings of people. In addition, we evaluated the colorization results created by our methods through a user study. Statistics show that our methods are somewhat superior to industrial application, but many of our respondents perceived little difference between the methods.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
7 - 3
Pages
113 - 120
Publication Date
2019/08
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
https://doi.org/10.2991/ijndc.k.190711.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Masashi Aizawa
AU  - Yuichi Sei
AU  - Yasuyuki Tahara
AU  - Ryohei Orihara
AU  - Akihiko Ohsuga
PY  - 2019
DA  - 2019/08
TI  - Do You Like Sclera? Sclera-region Detection and Colorization for Anime Character Line Drawings
JO  - International Journal of Networked and Distributed Computing
SP  - 113
EP  - 120
VL  - 7
IS  - 3
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.k.190711.001
DO  - https://doi.org/10.2991/ijndc.k.190711.001
ID  - Aizawa2019
ER  -