Food region detection using Bag-of-Features representation and color feature

Ruiko Miyano, Yuko Uematsu, Hideo Saito

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Food image processing has recently attracted attention, because many people take photos of food. For food image processing, recognition of captured food is an essential technology, but region detection of the food area from captured photos is also very important procedure for food recognition. In this paper, we propose a novel method for automatic region detection of food from photos using two kinds of features in input image. To detect food regions, we use a method which is widely used in generic object recognition. We divide an image into small subregions and represent each subregion as Bag-of-Features representation using local feature descriptors and color feature. Using two features, we recognize food subregions and finally connect them as food regions. Our experiments show that the proposed method can detect food region in high accuracy.

本文言語English
ホスト出版物のタイトルVISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
ページ709-713
ページ数5
出版ステータスPublished - 2012 6 15
イベントInternational Conference on Computer Vision Theory and Applications, VISAPP 2012 - Rome, Italy
継続期間: 2012 2 242012 2 26

出版物シリーズ

名前VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
1

Other

OtherInternational Conference on Computer Vision Theory and Applications, VISAPP 2012
国/地域Italy
CityRome
Period12/2/2412/2/26

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ ビジョンおよびパターン認識

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