Automatic extraction and recognition of shoe logos with a wide variety of appearance

Kazunori Aoki, Wataru Ohyama, Tetsushi Wakabayashi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

3 被引用数 (Scopus)

抄録

A logo is a symbolic presentation that is designed not only to identify a product manufacturer but also to attract the attention of shoppers. Shoe logos are a challenging subject for automatic extraction and recognition using image analysis techniques because they have characteristics that distinguish them from those of other products, that is, there is much variation in the appearance of shoe logos. In this paper, we propose an automatic extraction and recognition method for shoe logos with a wide variety of appearanee using a limited number training samples. The proposed method employs maximally stable extremal regions (MSERs) for the initial region extraction, an iterative algorithm for region grouping, and gradient features and a support vector machine for logo recognition. The results of performance evaluation experiments using a logo dataset that consists of a wide variety of appearance show that the proposed method achieves promising performance for both logo extraction and recognition.

本文言語英語
ホスト出版物のタイトルProceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ211-214
ページ数4
ISBN(電子版)9784901122160
DOI
出版ステータス出版済み - 7月 19 2017
イベント15th IAPR International Conference on Machine Vision Applications, MVA 2017 - Nagoya, 日本
継続期間: 5月 8 20175月 12 2017

出版物シリーズ

名前Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017

その他

その他15th IAPR International Conference on Machine Vision Applications, MVA 2017
国/地域日本
CityNagoya
Period5/8/175/12/17

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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