Linear protection grid optimized image stitching for mobile robots

Lulu Zhou, Yanling Tian, Gang Lu*, Xiaojun Wu, Qieshi Zhang

*この研究の対応する著者

研究成果: Conference contribution

抄録

Image stitching can be used to in 3D reconstruction to obtain the comprehensive obstacle information, which plays an important role in the field of mobile robots.However, previous algorithms have two problems: 1. The linear structure of the image might have been corrupted. 2. Some inconsistency may exist in the transitional region of the stitched image. In order to solve above problems, in this paper, we propose a grid-based linear structure protection method, which applies the constraints to the lines extracted from the image to protect them from the distortion caused by the mesh deformation process, and resulting in a natural panorama with reduced distortion. This method helps to obtain a natural panoramic image with reduced distortion. At the same time, we use the neighbor weighted based boundary artifact removal approach to process the stitched image, which can avoid the stitching problem and can make the image look more natural. We conducted some experiments, and the results demonstrated that our method is more efficient and more natural as compared with some state-of-the-art methods.

本文言語English
ホスト出版物のタイトル2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ661-666
ページ数6
ISBN(電子版)9781728137261
DOI
出版ステータスPublished - 2019 8
外部発表はい
イベント2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019 - Irkutsk, Russian Federation
継続期間: 2019 8 42019 8 9

出版物シリーズ

名前2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
2019-August

Conference

Conference2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
国/地域Russian Federation
CityIrkutsk
Period19/8/419/8/9

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 制御と最適化

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