Fisheye Image Correction Based on Straight-Line Detection and Preservation

Qieshi Zhang, Seiichiro Kamata

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Fisheye lenses are widely used when the users want to capture the image/video with wide field of view (FoV) which is particularly suited to surveillance monitoring and vehicle camera. However, no projection from the actual scene in wide FoV image can avoid the distortion. If this problem cannot be solved, the fisheye image will difficult be used for object detection or analysis due to the distorted shapes of the scene objects. To correct this problem and obtain the natural-looking image, a two-step correction approach is proposed. Firstly, adaptive latitude and longitude correction are presented and the Hough transform is used to detect and estimate the straight-line. Secondly, the straight-line preserving and orientation, consistency based optimization is examined to obtain the final correction result. To compare the effectiveness of the proposed method, some fisheye correction methods are discussed. The experimental results demonstrate that the proposed method can obtain the coherent natural-looking.

本文言語English
ホスト出版物のタイトルProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1793-1797
ページ数5
ISBN(印刷版)9781479986965
DOI
出版ステータスPublished - 2016 1 12
イベントIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong
継続期間: 2015 10 92015 10 12

Other

OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
国/地域Hong Kong
CityKowloon Tong
Period15/10/915/10/12

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • エネルギー工学および電力技術
  • 情報システムおよび情報管理
  • 制御およびシステム工学

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