Determination of the Attitude of 3D Objects from a Single Perspective View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determination of Camera Location from 2-D to 3-D Line and Point Correspondences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determination of camera location and orientation
Proceedings of a workshop on Image understanding workshop
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object pose from 2-D to 3-D point and line correspondences
International Journal of Computer Vision
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Landmark-based registration using features identified through differential geometry
Handbook of medical imaging
Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Feature-Based Registration of Medical Images: Estimation and Validation of the Pose Accuracy
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Block Matching: A General Framework to Improve Robustness of Rigid Registration of Medical Images
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
An Efficient Iterative Pose Estimation Algorithm
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
Virtual Reality and Augmented Reality in Digestive Surgery
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
A low cost and accurate guidance system for laparoscopic surgery: validation on an abdominal phantom
Proceedings of the ACM symposium on Virtual reality software and technology
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
Journal of Mathematical Imaging and Vision
Future Generation Computer Systems
Bootstrap resampling for image registration uncertainty estimation without ground truth
IEEE Transactions on Image Processing
Image registration accuracy estimation without ground truth using bootstrap
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
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Our purpose in this article is to superimpose a 3D model of the liver, its vessels and tumors (reconstructed from CT images) on external video images of the patient for hepatic surgery guidance. The main constraints are the robustness, the accuracy and the computation time. Because of the absence of visible anatomical landmarks and of the "cylindrical" shape of the upper abdomen, we used some radio-opaque fiducials. The classical least-squares method assuming that there is no noise on the 3D point positions, we designed a new Maximum Likelihood approach to account for this existing noise and we show that it generalizes the classical approaches. Experiments on synthetic data provide evidences that our new criterion is up to 20% more accurate and much more robust, while keeping a computation time compatible with realtime at 20 to 40 Hz. Eventually, careful validation experiments on real data show that an accuracy of 2 mm can be achieved within the liver.