A local descriptor for high-speed and high-performance pictogram matching

Terumasa Aoki, Kurumi Kaminishi

研究成果: Conference contribution

抄録

Pictogram, a simple picture-based symbol, is widely used to indicate important facilities (such as 'rest room') or important rules (such as 'no smoking'). If a practicable pictogram matching technology is available, it must be useful for many applications. Unfortunately, as far as the authors know, there are no practicable methods which satisfy both high-speed (real-time) processing and high performance (high matching ratio). In this paper, we present a novel local descriptor for high-speed and high-performance pictogram matching under a variety of photographing conditions. The proposed method consists of three modules: projection-invariant values called CRN (Cross Ratio Number), shape description scheme for pictograms, and matching acceleration method based on feature vector classification by using the relationship between contour and convex hull. The experiments show our method outperforms the state-of-the-art methods in terms of matching ratio and computation cost.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
出版社IEEE Computer Society
ページ1062-1066
ページ数5
ISBN(電子版)9781509021758
DOI
出版ステータスPublished - 2018 2 20
イベント24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
継続期間: 2017 9 172017 9 20

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
2017-September
ISSN(印刷版)1522-4880

Other

Other24th IEEE International Conference on Image Processing, ICIP 2017
CountryChina
CityBeijing
Period17/9/1717/9/20

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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