![]() Beyond reliable tracking capacity, augmenting an indoor environment with corresponding building model data requires a one-time localization of the AR platform inside the local coordinate frame of the building model to be visualized. While the HoloLens has sufficient real-time inside-out tracking capacity to provide a spatially correct and stable visualization of virtual content relative to its surroundings, the placement of virtual objects normally has to be done actively by the user. Abstract: Mobile augmented reality devices for indoor environments like the Microsoft HoloLens hold potential for the in-situ visualization of building model data.4791 of Lecture Notes in Computer Science, (Brisbane, QLD, Australia), pp. Peters, Improved statistical TRE model when using a reference frame., in Medical Image Computing and Computer-Assisted Intervention MICCAI 2007 (N. Peters, Real-time estimation of FLE for point-based registration, in Proceedings of SPIE, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling (M. ![]() Peters, ∺ statistical model for point-based target registration error with anisotropic fiducial localizer error, IEEE Transactions on Medical Imaging, vol. Peters, Real-time estimation of FLE statistics for 3D tracking with point-based registration, IEEE Transactions on Medical Imaging, vol. Peters, Target tracking errors for 5D and 6D spatial measurement systems, IEEE Transactions on Medical Imaging, vol. 6363 of Lecture Notes in Computer Science, (Beijing, China), September 2010.Ī. Fitzpatrick, Improved method for point-based tracking, in Medical Image Computing and Computer-Assisted Intervention MICCAI 2010 (T. Estimation of the Target Tracking Error given an estimate of the uncertainty of the transformation parameters.Īll of these experiments are documented in my thesis and some of these results are included in various published papers:Ī. Estimation of the Fiducial Localizer Error given an estimate of the recent Fiducial Registration Errorģ. Estimation Target Registration Error (TRE) for anisotropic and non-homogenous Fiducial Localizer Error (FLE)Ģ. The target error models and simulations contain three main areas of simulation.ġ. This includes a collection of useful plotting routines to display the results.Ĭollection of statistical methods used in the results analysis. There is also some registration routines used in the target_error simulations. This folder contains a collection of math routines for linear transformations, rotations using matrices, Euler angles and quaternions. This folder contains sample code for communicating with the NDI Aurora system using Matlab. This is clearly long overdue but it is still in progress. It is not completely up to date, but eventually this tool kit will be able to comletely replicate my code simulations from my thesis and published papers. This "toolkit" started as a collection of code from my PhD, but there is some other recent example code for NDI Aurora communication set up in matlab. Tools to examine image registration and tracking errors.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |