A two-stage strategy for real-time dense 3D reconstruction of large-scale scenes

Diego Thomas, Akihiro Sugimoto

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

The frame-to-global-model approach is widely used for accurate 3D modeling from sequences of RGB-D images. Because still no perfect camera tracking system exists, the accumulation of small errors generated when registering and integrating successive RGB-D images causes deformations of the 3D model being built up. In particular, the deformations become significant when the scale of the scene to model is large. To tackle this problem, we propose a two-stage strategy to build in details a large-scale 3D model with minimal deformations where the first stage creates accurate small-scale 3D scenes in real-time from short subsequences of RGB-D images while the second stage re-organises all the results from the first stage in a geometrically consistent manner to reduce deformations as much as possible. By employing planar patches as the 3D scene representation, our proposed method runs in real-time to build accurate 3D models with minimal deformations even for large-scale scenes. Our experiments using real data confirm the effectiveness of our proposed method.

本文言語英語
ホスト出版物のタイトルComputer Vision - ECCV 2014 Workshops, Proceedings
編集者Michael M. Bronstein, Carsten Rother, Lourdes Agapito
出版社Springer Verlag
ページ428-442
ページ数15
ISBN(電子版)9783319161778
DOI
出版ステータス出版済み - 1月 1 2015
外部発表はい
イベント13th European Conference on Computer Vision, ECCV 2014 - Zurich, スイス
継続期間: 9月 6 20149月 12 2014

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8925
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他13th European Conference on Computer Vision, ECCV 2014
国/地域スイス
CityZurich
Period9/6/149/12/14

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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