Inferring global perceptual contours from local features
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Computer Vision and Image Understanding
Variational guidewire tracking using phase congruency
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
A machine learning approach for deformable guide-wire tracking in fluoroscopic sequences
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Guide-wire extraction through perceptual organization of local segments in fluoroscopic images
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Simultaneous geometric - iconic registration
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
An efficient method for tensor voting using steerable filters
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Design of steerable filters for feature detection using canny-like criteria
IEEE Transactions on Pattern Analysis and Machine Intelligence
An adaptive method of tracking anatomical curves in x-ray sequences
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Power line detection from optical images
Neurocomputing
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In this paper we introduce a novel hybrid graph-based approach for Guide-wire tracking. The image support is captured by steerable filters and improved through tensor voting. Then, a graphical model is considered that represents guide-wire extraction/tracking through a B-spline control-point model. Points with strong geometric interest (landmarks) are automatically determined and anchored to such a representation. Tracking is then performed through discrete MRFs that optimize the spatio-temporal positions of the control points while establishing landmark temporal correspondences. Promising results demonstrate the potentials of our method.