TY - GEN
T1 - Augmented Reality Calibration with Stereo Image Registration for Surgical Navigation
AU - Zhao, Zehua
AU - Fu, Tianyu
AU - Shao, Long
AU - Song, Hong
AU - Fan, Jingfan
AU - Xiao, Deqiang
AU - Lin, Yucong
AU - Yang, Jian
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Augmented reality (AR), an important approach for humans to access more information, has been widely used in various fields, such as medical, military, entertainment, and educational fields. In the medical field, AR can superimpose virtual preoperative patient information on the real intraoperative scene to guide the surgery. Currently, many AR methods are used in the medical field, but most of them require complicated tracking markers or demanding apparatus. This work proposes an AR calibration method with a binocular stereo camera. The accurate feature matching pairs are used to reconstruct the point cloud. Thereafter, the 3D virtual mesh model is superimposed on the real scene by image-patient registration. A head phantom, a liver phantom, and three volunteers participated in our experiments. The accuracy of our method is significantly higher than the other two AR methods.
AB - Augmented reality (AR), an important approach for humans to access more information, has been widely used in various fields, such as medical, military, entertainment, and educational fields. In the medical field, AR can superimpose virtual preoperative patient information on the real intraoperative scene to guide the surgery. Currently, many AR methods are used in the medical field, but most of them require complicated tracking markers or demanding apparatus. This work proposes an AR calibration method with a binocular stereo camera. The accurate feature matching pairs are used to reconstruct the point cloud. Thereafter, the 3D virtual mesh model is superimposed on the real scene by image-patient registration. A head phantom, a liver phantom, and three volunteers participated in our experiments. The accuracy of our method is significantly higher than the other two AR methods.
KW - Augmented reality
KW - accurate feature match
KW - binocular camera
KW - point cloud reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85146961928&partnerID=8YFLogxK
U2 - 10.1109/ICICML57342.2022.10009830
DO - 10.1109/ICICML57342.2022.10009830
M3 - Conference contribution
AN - SCOPUS:85146961928
T3 - 2022 International Conference on Image Processing, Computer Vision and Machine Learning, ICICML 2022
SP - 24
EP - 30
BT - 2022 International Conference on Image Processing, Computer Vision and Machine Learning, ICICML 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Image Processing, Computer Vision and Machine Learning, ICICML 2022
Y2 - 28 October 2022 through 30 October 2022
ER -