Manga Character Clustering using Convolutional Neural Network
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === As reading habits change, more and more manga books are digitized and can be read on tablet or smartphone. However, most of them are just scanned from the printed version and treated as normal image files. There are only few studies focus on extracting informat...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5s46b5 |
| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === As reading habits change, more and more manga books are digitized and can be read on tablet or smartphone. However, most of them are just scanned from the printed version and treated as normal image files. There are only few studies focus on extracting information from manga pages automatically. In this thesis, we try to cluster faces in manga books based on their identities. We proposed a method using convolutional neural network and clustering algorithm. We designed and trained a CNN network to extract features from manga character faces, and used the extracted features and spatial relations of faces to cluster them. Our method achieved 76.92% accuracy on unseen manga books and characters.
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