Surgery recording without occlusions by multi-view surgical videos

Tomohiro Shimizu, Kei Oishi, Ryo Hachiuma, Hiroki Kajita, Yoshihumi Takatsume, Hideo Saito

研究成果: Conference contribution

抜粋

Recording surgery is important for sharing various operating techniques. In most surgical rooms, fixed surgical 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, we propose the installation of multiple cameras in a surgical lamp system, so that at least one camera can capture the surgical field even when the surgeon’s head and body occlude other cameras. In this paper, we present a method for automatic viewpoint switching from multi-view surgical videos, so that the surgical field can always be recorded. We employ a method for learning-based object detection from videos for automatic evaluation of the surgical field from multi-view surgical videos. In general, frequent camera switching degrades the video quality of view (QoV). Therefore, we apply Dijkstra’s algorithm, widely used in the shortest path problem, as an optimization method for this problem. Our camera scheduling method works so that camera switching is not performed for the minimum frame we specified, and therefore the surgical field observed in the entire video is maximized.

元の言語English
ホスト出版物のタイトルVISAPP
編集者Giovanni Maria Farinella, Petia Radeva, Jose Braz
出版者SciTePress
ページ837-844
ページ数8
ISBN(電子版)9789897584022
出版物ステータスPublished - 2020 1 1
イベント15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020 - Valletta, Malta
継続期間: 2020 2 272020 2 29

出版物シリーズ

名前VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
5

Conference

Conference15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020
Malta
Valletta
期間20/2/2720/2/29

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • これを引用

    Shimizu, T., Oishi, K., Hachiuma, R., Kajita, H., Takatsume, Y., & Saito, H. (2020). Surgery recording without occlusions by multi-view surgical videos. : G. M. Farinella, P. Radeva, & J. Braz (版), VISAPP (pp. 837-844). (VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; 巻数 5). SciTePress.