Name
Abstract | ||
|---|---|---|
Manga character drawing styles differ greatly among artists. To accurately cluster faces within an individual manga, we propose a method to adapt manga face representations to an individual manga. We use deep features trained for generic manga face recognition, and adapt them by deep metric learning (DML) for the target manga volume. DML uses pseudo positive and negative pairs defined by considering page and frame information. We performed experiments using a dataset comprising 104 manga volumes and found that our feature adaptation significantly improved the accuracy of manga face clustering.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3283289.3283319 | SA '18: SIGGRAPH Asia 2018
Tokyo
Japan
December, 2018 |
Field | DocType | ISBN |
Facial recognition system,Computer vision,Computer science,Artificial intelligence,Cluster analysis | Conference | 978-1-4503-6063-0 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koki Tsubota | 1 | 0 | 1.01 |
| Toru Ogawa | 2 | 16 | 2.23 |
| Toshihiko Yamasaki | 3 | 640 | 98.87 |
| Kiyoharu Aizawa | 4 | 1836 | 292.43 |