Outlier and Artifact Removal Filters for Multi-View Stereo

Kouya Yodokawa, Koichi Ito, Takafumi Aoki, Shuji Sakai, Takafumi Watanabe, Tomohito Masuda

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes an outlier and artifact removal method for multiview stereo. The proposed method introduces the three filters, which check (i) consistency among depth maps and their visibility, (ii) left-right consistency and (iii) consistency between the depth map and color intensity, respectively. The proposed method removes outliers and artifacts from depth maps generated by PatchMatch Multi-View Stereo. We demonstrate that the proposed method exhibits the efficient performance on 3D reconstruction compared with conventional methods through a set of experiments using public datasets and under practical situations.

本文言語English
ホスト出版物のタイトル2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
出版社IEEE Computer Society
ページ3638-3642
ページ数5
ISBN(電子版)9781479970612
DOI
出版ステータスPublished - 2018 8 29
イベント25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
継続期間: 2018 10 72018 10 10

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
国/地域Greece
CityAthens
Period18/10/718/10/10

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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