An extension of PatchMatch Stereo for 3D reconstruction from multi-view images

Mutsuki Hiradate, Koichi Ito, Takafumi Aoki, Takafumi Watanabe, Hiroki Unten

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

2 Citations (Scopus)

Abstract

PatchMatch Stereo is a method generating a depth map from stereo images by repeatedly applying spatial propagation and view propagation to the depth map. The extension of PatchMatch Stereo for multi-view 3D reconstruction has been recently proposed. This extension is very ad hoc and does not fully utilize the potential of multi-view images, since the method generates a 3D point cloud by combining a set of depth maps obtained from each binocular stereo image pair. This paper proposes a multi-view 3D reconstruction method using PatchMatch Stereo. To fully utilize the impact of multi-view images, the proposed method have two key ideas: (i) integrate matching scores from multiple stereo image pairs and (ii) perform view propagation among multi-view images. The use of multi-view images makes it possible to generate a reliable depth map by reducing occlusions. Through a set of experiments, we demonstrate that the proposed method generates more reliable depth map from multi-view images than the conventional method.

Original languageEnglish
Title of host publicationProceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-65
Number of pages5
ISBN (Electronic)9781479961009
DOIs
Publication statusPublished - 2016 Jun 7
Event3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015 - Kuala Lumpur, Malaysia
Duration: 2016 Nov 32016 Nov 6

Publication series

NameProceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015

Other

Other3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
CountryMalaysia
CityKuala Lumpur
Period16/11/316/11/6

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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