Temporal Shape Super-Resolution by Intra-frame Motion Encoding Using High-fps Structured Light

Yuki Shiba, Satoshi Ono, Ryo Furukawa, Shinsaku Hiura, Hiroshi Kawasaki

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

2 被引用数 (Scopus)

抄録

One of the solutions of depth imaging of moving scene is to project a static pattern on the object and use just a single image for reconstruction. However, if the motion of the object is too fast with respect to the exposure time of the image sensor, patterns on the captured image are blurred and reconstruction fails. In this paper, we impose multiple projection patterns into each single captured image to realize temporal super resolution of the depth image sequences. With our method, multiple patterns are projected onto the object with higher fps than possible with a camera. In this case, the observed pattern varies depending on the depth and motion of the object, so we can extract temporal information of the scene from each single image. The decoding process is realized using a learning-based approach where no geometric calibration is needed. Experiments confirm the effectiveness of our method where sequential shapes are reconstructed from a single image. Both quantitative evaluations and comparisons with recent techniques were also conducted.

本文言語英語
ホスト出版物のタイトルProceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ115-123
ページ数9
ISBN(電子版)9781538610329
DOI
出版ステータス出版済み - 12 22 2017
イベント16th IEEE International Conference on Computer Vision, ICCV 2017 - Venice, イタリア
継続期間: 10 22 201710 29 2017

出版物シリーズ

名前Proceedings of the IEEE International Conference on Computer Vision
2017-October
ISSN(印刷版)1550-5499

その他

その他16th IEEE International Conference on Computer Vision, ICCV 2017
国/地域イタリア
CityVenice
Period10/22/1710/29/17

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識

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引用スタイル