A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Robust Dense Matching Using Local and Global Geometric Constraints
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
3D Reconstruction of the Operating Field for Image Overlay in 3D-Endoscopic Surgery
ISAR '01 Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR'01)
Towards Endoscopic Augmented Reality for Robotically Assisted Minimally Invasive Cardiac Surgery
MIAR '01 Proceedings of the International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
OpenVIDIA: parallel GPU computer vision
Proceedings of the 13th annual ACM international conference on Multimedia
Adaptive Support-Weight Approach for Correspondence Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Efficient 3D Tracking for Motion Compensation in Beating Heart Surgery
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
A probabilistic framework for tracking deformable soft tissue in minimally invasive surgery
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Feature tracking and matching in video using programmable graphics hardware
Machine Vision and Applications
Fast variable window for stereo correspondence using integral images
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Soft-tissue motion tracking and structure estimation for robotic assisted MIS procedures
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Dense surface reconstruction for enhanced navigation in MIS
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Template-Based conformal shape-from-motion-and-shading for laparoscopy
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
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
Tissue deformation recovery with gaussian mixture model based structure from motion
AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
Stereoscopic scene flow for robotic assisted minimally invasive surgery
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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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The recovery of 3D tissue structure and morphology during robotic assisted surgery is an important step towards accurate deployment of surgical guidance and control techniques in minimally invasive therapies. In this article, we present a novel stereo reconstruction algorithm that propagates disparity information around a set of candidate feature matches. This has the advantage of avoiding problems with specular highlights, occlusions from instruments and view dependent illumination bias. Furthermore, the algorithm can be used with any feature matching strategy allowing the propagation of depth in very disparate views. Validation is provided for a phantom model with known geometry and this data is available online in order to establish a structured validation scheme in the field. The practical value of the proposed method is further demonstrated by reconstructions on various in vivo images of robotic assisted procedures, which are also available to the community.