Corner detection in fisheye images by modified Yin-Yang grid

An Shui Yu, Kenji Hara, Kohei Inoue, Kiichi Urahama

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

We propose a framework to extend corner feature detection in standard rectangular images with less distortion to distorted circular images captured with fisheye lenses. To solve two problems of nonuniformity of spatial resolution and spherical polar coordinates singularity, our approach makes use of a modification in the Yin-Yang grid, which is an overset grid consisting of two latitude/longitude coordinate systems. The main contribution is to keep the use of existing corner detection programs. Experimental results on synthetic and real images demonstrate the effectiveness of our method.

元の言語英語
ホスト出版物のタイトルProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
出版者Institute of Electrical and Electronics Engineers Inc.
ページ3292-3297
ページ数6
ISBN(電子版)9781538611272
DOI
出版物ステータス出版済み - 12 15 2017
イベント43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, 中国
継続期間: 10 29 201711 1 2017

出版物シリーズ

名前Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
2017-January

その他

その他43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
中国
Beijing
期間10/29/1711/1/17

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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  • これを引用

    Yu, A. S., Hara, K., Inoue, K., & Urahama, K. (2017). Corner detection in fisheye images by modified Yin-Yang grid. : Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 3292-3297). (Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society; 巻数 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2017.8216557