Flexible Calibration of Actuated Stereoscopic Endoscope for Overlay in Robot Assisted Surgery
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Multiview Paraperspective Projection Model for Diminished Reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Interaction with partially transparent hands and objects
AUIC '05 Proceedings of the Sixth Australasian conference on User interface - Volume 40
Force Feedback Virtual Painting on Real Objects: A Paradigm of Augmented Reality Haptics
EuroHaptics '08 Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios
Endoscopic Feature Tracking and Scale-Invariant Estimation of Soft-Tissue Structures
IEICE - Transactions on Information and Systems
A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes
International Journal of Computer Vision
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Real-time stereo reconstruction in robotically assisted minimally invasive surgery
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Markerless endoscopic registration and referencing
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
2D/3D registration of a preoperative model with endoscopic video using colour-consistency
AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
Robust dense endoscopic stereo reconstruction for minimally invasive surgery
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
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Building a 3D model of the operating field is the firststage to access the registration of pre-operative surfacemodels in per-operative context. We propose a method tolearn the 3D model of the organs observed by a stereoscopicendoscope. This method is general and requires no a prioriknowledge of the position of the instruments, whether robotizedor manually-controlled, present in the field of view.The result of the learning process allows the removal of theinstruments from the surgeon's field of view: "diminishedreality". This work prefigures the 3D integration by augmentedreality of preoperative organs model (e.g. arteries)in stereoscopic images. Experiments are currently beingperformed to validate our approach using endoscopic sequencesfrom the da VinciTM surgical system.