Automatic viewpoint switching for multi-view surgical videos

Tomohiro Shimizu, Kei Oishi, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Recording medical surgery operations is important for sharing the various operating techniques. In most operating rooms, fixed surgery cameras are already installed, but it is almost impossible to capture the surgical field because of occlusion by the surgeon's head and body. In order to capture the surgical field in real surgery operations, we proposed the installation of multiple cameras in a surgical lighting system, so that at least one camera can capture the target surgical field even when the surgeon's head and body occlude other cameras. In this paper, we present a method for automatic viewpoint selection from multi-view surgical videos, so that the surgical field can always be recorded in the output video. We employ a method for learning-based object detection from videos for automatic evaluation of the surgical field area from multiple input videos. By selecting the viewpoint with the largest area of the surgical field, we can virtually reduce the area of the surgeon's head and hands. In general, frequent camera switching degrades the video quality of view (QoV). Therefore, we apply the Dijkstra method widely used in the shortest path problem as a combinatorial optimization method for this problem. Our camera scheduling method is that the camera switching is not performed for a certain period of time, and the surgical field observed in the entire video is maximized.

本文言語English
ホスト出版物のタイトルAdjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ89-90
ページ数2
ISBN(電子版)9781728147659
DOI
出版ステータスPublished - 2019 10月
イベント18th IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019 - Beijing, China
継続期間: 2019 10月 142019 10月 18

出版物シリーズ

名前Adjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019

Conference

Conference18th IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019
国/地域China
CityBeijing
Period19/10/1419/10/18

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用
  • メディア記述

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