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.
| 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 |
| 巻 | 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 28 → 2015 7 1 |
Other
| Other | IEEE Intelligent Vehicles Symposium, IV 2015 |
|---|---|
| 国 | Korea, Republic of |
| 市 | Seoul |
| 期間 | 15/6/28 → 15/7/1 |
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ASJC Scopus subject areas
- Computer Science Applications
- Automotive Engineering
- Modelling and Simulation
これを引用
Disparity refinement with stability-based tree for stereo matching. / Ji, Yuhang; Zhang, Qieshi; Sugimoto, Kenjiro; Kamata, Seiichiro.
IEEE Intelligent Vehicles Symposium, Proceedings. 巻 2015-August Institute of Electrical and Electronics Engineers Inc., 2015. p. 469-474 7225729.研究成果: Conference contribution
}
TY - GEN
T1 - Disparity refinement with stability-based tree for stereo matching
AU - Ji, Yuhang
AU - Zhang, Qieshi
AU - Sugimoto, Kenjiro
AU - Kamata, Seiichiro
PY - 2015/8/26
Y1 - 2015/8/26
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84951141511&partnerID=8YFLogxK
U2 - 10.1109/IVS.2015.7225729
DO - 10.1109/IVS.2015.7225729
M3 - Conference contribution
AN - SCOPUS:84951141511
SN - 9781467372664
VL - 2015-August
SP - 469
EP - 474
BT - IEEE Intelligent Vehicles Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -