A sequential online 3D reconstruction system using dense stereo matching

Sosuke Yamao, Mamoru Miura, Shuji Sakai, Koichi Ito, Takafumi Aoki

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper proposes a sequential online 3D reconstruction system using dense stereo matching for a non-expert user, which can sequentially reconstruct accurate and dense 3D point clouds when the new image is captured. The proposed system is based on a novel processing pipeline of sequential online 3D reconstruction with two key techniques: (i) camera parameter estimation of Structure from Motion (SfM) and (ii) dense stereo correspondence matching using Phase-Only Correlation (POC). The user can confirm the reconstruction result and add supplementary images to the system in order to reconstruct a complete 3D model as needed. Through a set of experiments, the proposed system exhibits efficient performance in terms of reconstruction accuracy and computation time compared with the conventional system.

本文言語English
ホスト出版物のタイトルProceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ341-348
ページ数8
ISBN(電子版)9781479966820
DOI
出版ステータスPublished - 2015 2 19
イベント2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 - Waikoloa, United States
継続期間: 2015 1 52015 1 9

出版物シリーズ

名前Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015

Other

Other2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015
国/地域United States
CityWaikoloa
Period15/1/515/1/9

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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