Surgery recording without occlusions by multi-view surgical videos

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationVISAPP
EditorsGiovanni Maria Farinella, Petia Radeva, Jose Braz
PublisherSciTePress
Pages837-844
Number of pages8
ISBN (Electronic)9789897584022
Publication statusPublished - 2020
Event15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020 - Valletta, Malta
Duration: 2020 Feb 272020 Feb 29

Publication series

NameVISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume5

Conference

Conference15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020
CountryMalta
CityValletta
Period20/2/2720/2/29

Keywords

  • Camera Scheduling
  • Dijkstra’s Algorithm
  • Multi-viewpoint Camera

ASJC Scopus subject areas

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

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  • Cite this

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