Geometric constraint analysis and synthesis: methods for improving shape-based registration accuracy

Shape-based registration is a process for estimating the transformation between two shape representations of an object. It is used in many image-guided surgical systems to establish a transformation between pre- and intra-operative coordinate systems. This paper describes several tools which are useful for improving the accuracy resulting from shape-based registration: constraint analysis, constraint synthesis, and online accuracy estimation. Constraint analysis provides a scalar measure of sensitivity which is well correlated with registration accuracy. This measure can be used as a criterion function by constraint synthesis, an optimization process which generates configurations of registration data which maximize expected accuracy. Online accuracy estimation uses a conventional rootmean-squared error measure coupled with constraint analysis to estimate an upper bound on true registration error. This paper demonstrates that registration accuracy can be significantly improved via appl...

• Type: Conference
• Year: 1997
• Where: CVRMED
• Authors: David A. Simon, Takeo Kanade
• Keywords: Computer Vision, Constraint Analysis, CVRMED 1997, Online Accuracy Estimation, Registration Accuracy