Disparity refinement with stability-based tree for stereo matching

Yuhang Ji, Qieshi Zhang, Kenjiro Sugimoto, Seiichiro Kamata

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルIEEE Intelligent Vehicles Symposium, Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ469-474
ページ数6
2015-August
ISBN(印刷版)9781467372664
DOI
出版ステータス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
国/地域Korea, Republic of
CitySeoul
Period15/6/2815/7/1

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 自動車工学
  • モデリングとシミュレーション

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