SILHOUETTE-BASED SYNTHETIC DATA GENERATION FOR 3D HUMAN POSE ESTIMATION WITH A SINGLE WRIST-MOUNTED 360° CAMERA

Ryosuke Hori, Ryo Hachiuma, Hideo Saito, Mariko Isogawa, Dan Mikami

研究成果: Conference contribution

抄録

In this paper, we propose a framework for 3D human pose estimation with a single 360 camera mounted on the user’s wrist. Perceiving a 3D human pose with such a simple setting has remarkable potential for various applications (e.g., daily-living activity monitoring, motion analysis for sports enhancement). However, no existing work has tackled this task due to the difficulty of estimating a human pose from a single camera image in which only a part of the human body is captured and the lack of training data. Therefore, we propose an effective method for translating wrist-mounted 360 camera images into 3D human poses. We also propose silhouette-based synthetic data generation dedicated to this task, which enables us to bridge the domain gap between real-world data and synthetic data. We achieved higher estimation accuracy quantitatively and qualitatively compared with other baseline methods.

本文言語English
ホスト出版物のタイトル2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings
出版社IEEE Computer Society
ページ1304-1308
ページ数5
ISBN(電子版)9781665441155
DOI
出版ステータスPublished - 2021
イベント2021 IEEE International Conference on Image Processing, ICIP 2021 - Anchorage, United States
継続期間: 2021 9月 192021 9月 22

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
2021-September
ISSN(印刷版)1522-4880

Conference

Conference2021 IEEE International Conference on Image Processing, ICIP 2021
国/地域United States
CityAnchorage
Period21/9/1921/9/22

ASJC Scopus subject areas

  • 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
  • 信号処理

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