Efficient multiview stereo by random-search and propagation

Youngjung Uh, Yasuyuki Matsushita, Hyeran Byun

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

7 Citations (Scopus)

Abstract

We present an efficient multi-view 3D reconstruction method based on randomization and propagation scheme. Our method progressively refines 3D point estimates by randomly perturbing the initial guess of 3D points and propagates photo-consistent ones to their neighbors. In contrast to previous refinement methods that perform local optimization for a better photo-consistency, our randomization approach takes lucky matchings for reducing the computational complexity. Experiments show favorable efficiency of the proposed method with the accuracy that is close to the state-of-the-art methods.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on 3D Vision, 3DV 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages393-400
Number of pages8
ISBN (Electronic)9781479970018
DOIs
Publication statusPublished - 2015 Feb 6
Event2014 2nd International Conference on 3D Vision, 3DV 2014 - Tokyo, Japan
Duration: 2014 Dec 82014 Dec 11

Publication series

NameProceedings - 2014 International Conference on 3D Vision, 3DV 2014

Other

Other2014 2nd International Conference on 3D Vision, 3DV 2014
Country/TerritoryJapan
CityTokyo
Period14/12/814/12/11

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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