Manga FaceNet: Face Detection in Manga based on Deep Neural Network

Abstract

Among various elements of manga, character's face plays one of the most important role in access and retrieval. We propose a DNN-based method to do manga face detection, which is a challenging but relatively unexplored topic. Given a manga page, we first find candidate regions based on the selective search scheme. A deep neural network is then proposed to detect manga faces of various appearance. We evaluate the proposed method based on a large-scale benchmark, and show performance comparison and convincing evaluation results that have rarely done before.

DOI: 10.1145/3078971.3079031

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Cite this paper

@inproceedings{Chu2017MangaFF, title={Manga FaceNet: Face Detection in Manga based on Deep Neural Network}, author={Wei-Ta Chu and Wei-Wei Li}, booktitle={ICMR}, year={2017} }