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 |
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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 | |
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 |
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Country | Japan |
City | Nagoya |
Period | 17/5/8 → 17/5/12 |
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition