DocumentCode :
1820181
Title :
Computation and Validation of Intra- operative Camera Uncertainty
Author :
Simpson, A.L. ; Ma, B. ; Chen, E.C.S. ; Ellis, R.E. ; Stewart, A.J.
Author_Institution :
Queen´s Univ., Kingston
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
479
Lastpage :
482
Abstract :
We present a simple method for computing uncertainty in an optical tracking system. Our significant contribution is that the covariance estimates produced by our tracking algorithm are shown to closely match lower bounds established by Ohta and Kanatani. Our work addresses the existence of uncertainty in tracking and is a step toward a complete estimate of intra-operative uncertainty in computer-assisted surgery.
Keywords :
Kalman filters; biomedical optical imaging; calibration; image sensors; measurement uncertainty; surgery; target tracking; intra-operative camera uncertainty; optical tracking; Biomedical optical imaging; Calibration; Cameras; Navigation; Optical computing; Optical filters; Optical noise; Surgery; Target tracking; Uncertainty; Image Processing, Computer-Assisted; Models, Theoretical; Monitoring, Intraoperative; Video-Assisted Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4352327
Filename :
4352327
Link To Document :
بازگشت