| Title |
Markerless Registration for Augmented-Reality Surgical Navigation System Based on Monocular Depth Estimation |
| Authors |
최민혁(Min-Hyuk Choi) ; 최시은(Si-Eun Choi) ; 강세룡(Se-Ryong Kang) ; 유지용(Ji-Yong Yoo) ; 양 수(Su Yang) ; 김조은(Jo-Eun Kim) ; 허경회(Kyung-Hoe Huh) ; 이삼선(Sam-Sun Lee) ; 허민석(Min-Suk Heo) ; 이원진(Won-Jin Yi) |
| DOI |
https://doi.org/10.5370/KIEE.2021.70.12.1898 |
| Keywords |
Monocular depth estimation; Augmented Reality; Surgical navigation system; deep learning |
| Abstract |
In augmented reality(AR) surgical navigation system, the depth estimation using RGBD camera has limitation in obtaining the dense depth necessary to increase the registration accuracy. Recently, deep learning based monocular depth estimation has showed remarkable performance. In this study, we developed a markerless registration method using the monocular depth estimation, and applied it to AR surgical navigation system. The accuracy of our method of monocular depth estimation was 2.47 ± 1.15mm, while that of the method of the RGBD camera was 2.33 ± 1.24mm. There was no significant difference by paired T-test. Furthermore, the monocular depth estimation was able to acquire denser depth than the RGBD camera. |