A flexible scene representation for 3D reconstruction using an RGB-D camera

Diego Thomas, Akihiro Sugimoto

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

21 被引用数 (Scopus)

抄録

Updating a global 3D model with live RGB-D measurements has proven to be successful for 3D reconstruction of indoor scenes. Recently, a Truncated Signed Distance Function (TSDF) volumetric model and a fusion algorithm have been introduced (KinectFusion), showing significant advantages such as computational speed and accuracy of the reconstructed scene. This algorithm, however, is expensive in memory when constructing and updating the global model. As a consequence, the method is not well scalable to large scenes. We propose a new flexible 3D scene representation using a set of planes that is cheap in memory use and, nevertheless, achieves accurate reconstruction of indoor scenes from RGB-D image sequences. Projecting the scene onto different planes reduces significantly the size of the scene representation and thus it allows us to generate a global textured 3D model with lower memory requirement while keeping accuracy and easiness to update with live RGB-D measurements. Experimental results demonstrate that our proposed flexible 3D scene representation achieves accurate reconstruction, while keeping the scalability for large indoor scenes.

本文言語英語
ホスト出版物のタイトルProceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2800-2807
ページ数8
ISBN(印刷版)9781479928392
DOI
出版ステータス出版済み - 2013
外部発表はい
イベント2013 14th IEEE International Conference on Computer Vision, ICCV 2013 - Sydney, NSW, オーストラリア
継続期間: 12 1 201312 8 2013

出版物シリーズ

名前Proceedings of the IEEE International Conference on Computer Vision

その他

その他2013 14th IEEE International Conference on Computer Vision, ICCV 2013
Countryオーストラリア
CitySydney, NSW
Period12/1/1312/8/13

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

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