Outlier and Artifact Removal Filters for Multi-View Stereo

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages3638-3642
Number of pages5
ISBN (Electronic)9781479970612
DOIs
Publication statusPublished - 2018 Aug 29
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 2018 Oct 72018 Oct 10

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
CountryGreece
CityAthens
Period18/10/718/10/10

Keywords

  • 3D reconstruction
  • Artifact removal
  • Depth map
  • Multi-view stereo
  • Outlier removal

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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