Two-stage cross-based stereo disparity refinement

Zonglin Xu, Seiichiro Kamata, Qieshi Zhang

研究成果: Conference contribution

抜粋

This paper proposed a disparity refinement method based on two-stage cross. First stage is anti-texture cross-based support region construction to build proper support regions for error pixels without being influenced by texture. Based on the support regions, second stage of the method is proposed, which is called weighted cross-based updating method. The experiments show that the proposed method could build the support region accurately and improve the accuracy of the disparity map in final results with fast speed, compared to other tree-based algorithms. It also outperforms the existing disparity refinement methods in preserving the boundaries of objects in the final disparity map.

元の言語English
ホスト出版物のタイトルProceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ページ420-423
ページ数4
ISBN(電子版)9784901122160
DOI
出版物ステータスPublished - 2017 7 19
イベント15th IAPR International Conference on Machine Vision Applications, MVA 2017 - Nagoya, Japan
継続期間: 2017 5 82017 5 12

Other

Other15th IAPR International Conference on Machine Vision Applications, MVA 2017
Japan
Nagoya
期間17/5/817/5/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • これを引用

    Xu, Z., Kamata, S., & Zhang, Q. (2017). Two-stage cross-based stereo disparity refinement. : Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017 (pp. 420-423). [7986890] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/MVA.2017.7986890