SegmentedFusion: 3D human body reconstruction using stitched bounding boxes

Shih Hsuan Yao, Diego Thomas, Akihiro Sugimoto, Shang Hong Lai, Rin Ichiro Taniguchi Kyushu

研究成果: 著書/レポートタイプへの貢献会議での発言

1 引用 (Scopus)

抜粋

This paper presents SegmentedFusion, a method possessing the capability of reconstructing non-rigid 3D models of a human body by using a single depth camera with skeleton information. Our method estimates a dense volumetric 6D motion field that warps the integrated model into the live frame by segmenting a human body into different parts and building a canonical space for each part. The key feature of this work is that a deformed and connected canonical volume for each part is created, and it is used to integrate data. The dense volumetric warp field of one volume is represented efficiently by blending a few rigid transformations. Overall, SegmentedFusion is able to scan a non-rigidly deformed human surface as well as to estimate the dense motion field by using a consumer-grade depth camera. The experimental results demonstrate that SegmentedFusion is robust against fast inter-frame motion and topological changes. Since our method does not require prior assumption, SegmentedFusion can be applied to a wide range of human motions.

元の言語英語
ホスト出版物のタイトルProceedings - 2018 International Conference on 3D Vision, 3DV 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ190-198
ページ数9
ISBN(電子版)9781538684252
DOI
出版物ステータス出版済み - 10 12 2018
イベント6th International Conference on 3D Vision, 3DV 2018 - Verona, イタリア
継続期間: 9 5 20189 8 2018

出版物シリーズ

名前Proceedings - 2018 International Conference on 3D Vision, 3DV 2018

その他

その他6th International Conference on 3D Vision, 3DV 2018
イタリア
Verona
期間9/5/189/8/18

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

これを引用

Yao, S. H., Thomas, D., Sugimoto, A., Lai, S. H., & Kyushu, R. I. T. (2018). SegmentedFusion: 3D human body reconstruction using stitched bounding boxes. : Proceedings - 2018 International Conference on 3D Vision, 3DV 2018 (pp. 190-198). [8490969] (Proceedings - 2018 International Conference on 3D Vision, 3DV 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/3DV.2018.00031