Two-stage cross-based stereo disparity refinement

Zonglin Xu; Seiichiro Kamata; Qieshi Zhang

doi:10.23919/MVA.2017.7986890

Two-stage cross-based stereo disparity refinement

Zonglin Xu, Seiichiro Kamata, Qieshi Zhang

大学院情報生産システム研究科

研究成果: Conference contribution

抄録

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.

本文言語	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
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	420-423
ページ数	4
ISBN（電子版）	9784901122160
DOI	https://doi.org/10.23919/MVA.2017.7986890
出版ステータス	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 8 → 2017 5 12

Other

Other	15th IAPR International Conference on Machine Vision Applications, MVA 2017
Country	Japan
City	Nagoya
Period	17/5/8 → 17/5/12

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

文献へのアクセス

10.23919/MVA.2017.7986890

フィンガープリント「Two-stage cross-based stereo disparity refinement」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル

Xu, Z, Kamata, S & Zhang, Q 2017, Two-stage cross-based stereo disparity refinement. in Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017., 7986890, Institute of Electrical and Electronics Engineers Inc., pp. 420-423, 15th IAPR International Conference on Machine Vision Applications, MVA 2017, Nagoya, Japan, 17/5/8. https://doi.org/10.23919/MVA.2017.7986890

@inproceedings{44677b0108a642248493eb59e541242f,

title = "Two-stage cross-based stereo disparity refinement",

abstract = "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.",

author = "Zonglin Xu and Seiichiro Kamata and Qieshi Zhang",

year = "2017",

month = jul,

day = "19",

doi = "10.23919/MVA.2017.7986890",

language = "English",

pages = "420--423",

booktitle = "Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "15th IAPR International Conference on Machine Vision Applications, MVA 2017 ; Conference date: 08-05-2017 Through 12-05-2017",

}

TY - GEN

T1 - Two-stage cross-based stereo disparity refinement

AU - Xu, Zonglin

AU - Kamata, Seiichiro

AU - Zhang, Qieshi

PY - 2017/7/19

Y1 - 2017/7/19

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85027865946&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027865946&partnerID=8YFLogxK

U2 - 10.23919/MVA.2017.7986890

DO - 10.23919/MVA.2017.7986890

M3 - Conference contribution

AN - SCOPUS:85027865946

SP - 420

EP - 423

BT - Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IAPR International Conference on Machine Vision Applications, MVA 2017

Y2 - 8 May 2017 through 12 May 2017

ER -