Computation and validation of intra-operative camera uncertainty

Amber L Simpson; Burton Ma; Elvis C S Chen; Randy E Ellis; A Stewart

doi:10.1109/IEMBS.2007.4352327

Computation and validation of intra-operative camera uncertainty

Annu Int Conf IEEE Eng Med Biol Soc. 2007:2007:479-82. doi: 10.1109/IEMBS.2007.4352327.

Authors

Amber L Simpson¹, Burton Ma, Elvis C S Chen, Randy E Ellis, A Stewart

Affiliation

¹ Medical Computing Laboratory, Queen's University, Kingston, Ontario, Canada. simpson@cs.queensu.ca

PMID: 18001993
DOI: 10.1109/IEMBS.2007.4352327

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 [13]. 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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Image Processing, Computer-Assisted*
Models, Theoretical*
Monitoring, Intraoperative* / methods
Video-Assisted Surgery*