Disparity refinement with stability-based tree for stereo matching

Yuhang Ji, Qieshi Zhang, Kenjiro Sugimoto, Seiichiro Kamata

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

This paper proposes a disparity refinement method with stability-based tree. By developing stability-based tree to evaluate and reconstruct support regions for error parts, the proposed method achieves effective performance in removing outliers. This approach further improves the quality of raw disparity map in stereo matching, which makes the local methods results comparable to the global ones. Experiments exhibit that the proposed method reduces more than 70% aggregation time compared with traditional tree method without loss of accuracy. It also outperforms existing disparity refinement methods in removing large error parts.

元の言語English
ホスト出版物のタイトルIEEE Intelligent Vehicles Symposium, Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ページ469-474
ページ数6
2015-August
ISBN(印刷物)9781467372664
DOI
出版物ステータスPublished - 2015 8 26
イベントIEEE Intelligent Vehicles Symposium, IV 2015 - Seoul, Korea, Republic of
継続期間: 2015 6 282015 7 1

Other

OtherIEEE Intelligent Vehicles Symposium, IV 2015
Korea, Republic of
Seoul
期間15/6/2815/7/1

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation

これを引用

Ji, Y., Zhang, Q., Sugimoto, K., & Kamata, S. (2015). Disparity refinement with stability-based tree for stereo matching. : IEEE Intelligent Vehicles Symposium, Proceedings (巻 2015-August, pp. 469-474). [7225729] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IVS.2015.7225729