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 |
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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 |
巻 | 2015-August |
ISBN(印刷版) | 9781467372664 |
DOI | |
出版ステータス | Published - 2015 8月 26 |
イベント | IEEE Intelligent Vehicles Symposium, IV 2015 - Seoul, Korea, Republic of 継続期間: 2015 6月 28 → 2015 7月 1 |
Other
Other | IEEE Intelligent Vehicles Symposium, IV 2015 |
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国/地域 | Korea, Republic of |
City | Seoul |
Period | 15/6/28 → 15/7/1 |
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