CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Climate Modeling with Spherical Geodesic Grids
Computing in Science and Engineering
Real-Time Imaging - Special issue on multi-dimensional image processing
International Journal of Robotics Research
Laparoscopic Tool Tracking Method for Augmented Reality Surgical Applications
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
Feature classification for tracking articulated surgical tools
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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During a laparoscopic surgery, the endoscope can be manipulated by an assistant or a robot. Several teams have worked on the tracking of surgical instruments, based on methods ranging from the development of specific devices to image processing methods. We propose to exploit the instruments' insertion points, which are fixed on the patients abdominal cavity, as a geometric constraint for the localization of the instruments. A simple geometric model of a laparoscopic instrument is described, as well as a parametrization that exploits a spherical geometric grid, which offers attracting homogeneity and isotropy properties. The general architecture of our proposed approach is based on the probabilistic Condensation algorithm.