Paper Info
Title
Do You Like the Sclera?: Sclera-Region Detection in Line Drawings for Automated Colorization
Abstract
Colorizing line drawings requires special skill, experience, and knowledge. Artists also spend a lot of time and effort creating artwork. Recently, given this background, research on the automated colorization of line drawings was actively conducted. However, there are multiple problems in the existing approaches, 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 the sclera are often expressed in white. Hence, there are cases where the boundary cannot be predicted correctly by previous studies. In this research, we propose automated colorization methods that segment sclera regions in grayscale line drawings using machine learning. In this paper, 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 the industrial application [1], but many of our results show that there is not much difference.
Year
DOI
Venue
2019
10.1109/BCD.2019.8885391
2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)
Keywords
Field
DocType
automatic colorization,sclera region,semantic segmentation
Computer vision,Data mining,Computer science,Image segmentation,Artificial intelligence,Sclera,Region detection,Semantics,Grayscale,Line drawings
Conference
ISBN
Citations 
PageRank 
978-1-7281-0887-2
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Masashi Aizawa110.68
Yuichi Sei201.69
Yasuyuki Tahara316349.16
ryohei orihara48615.77
Akihiko Ohsuga528373.35