Surgery Recording without Occlusions by Multi-view Surgical Videos

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

2020

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.

Paper Citation

in Harvard Style

Shimizu T., Oishi K., Hachiuma R., Kajita H., Takatsume Y. and Saito H. (2020). Surgery Recording without Occlusions by Multi-view Surgical Videos. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 837-844. DOI: 10.5220/0009158908370844

in Bibtex Style

@conference{visapp20,
author={Tomohiro Shimizu and Kei Oishi and Ryo Hachiuma and Hiroki Kajita and Yoshihumi Takatsume and Hideo Saito},
title={Surgery Recording without Occlusions by Multi-view Surgical Videos},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={837-844},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009158908370844},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Surgery Recording without Occlusions by Multi-view Surgical Videos
SN - 978-989-758-402-2
AU - Shimizu T.
AU - Oishi K.
AU - Hachiuma R.
AU - Kajita H.
AU - Takatsume Y.
AU - Saito H.
PY - 2020
SP - 837
EP - 844
DO - 10.5220/0009158908370844
PB - SciTePress