Enhanced motion robustness from ToF-based depth sensing cameras

Wataru Yamada, Hiroyuki Manabe, Hiroshi Inamura

研究成果: Conference contribution

抜粋

Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.

元の言語English
ホスト出版物のタイトルUIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology
出版者Association for Computing Machinery, Inc
ページ51-52
ページ数2
ISBN(電子版)9781450337809
DOI
出版物ステータスPublished - 2015 11 6
外部発表Yes
イベント28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015 - Charlotte, United States
継続期間: 2015 11 82015 11 11

出版物シリーズ

名前UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology

Conference

Conference28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015
United States
Charlotte
期間15/11/815/11/11

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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  • これを引用

    Yamada, W., Manabe, H., & Inamura, H. (2015). Enhanced motion robustness from ToF-based depth sensing cameras. : UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology (pp. 51-52). (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology). Association for Computing Machinery, Inc. https://doi.org/10.1145/2815585.2817807