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» Covariant Derivatives and Vision
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CVPR
2004
IEEE
15 years 12 months ago
A Unified Framework for Uncertainty Propagation in Automatic Shape Tracking
Uncertainty handling plays an important role during shape tracking. We have recently shown that the fusion of measurement information with system dynamics and shape priors greatly...
Xiang Sean Zhou, Dorin Comaniciu, Binglong Xie, R....
CVPR
2004
IEEE
15 years 12 months ago
Alignment of Continuous Video onto 3D Point Clouds
We propose a general framework for aligning continuous (oblique) video onto 3D sensor data. We align a point cloud computed from the video onto the point cloud directly obtained f...
Wen-Yi Zhao, David Nistér, Steven C. Hsu
CVPR
2005
IEEE
15 years 12 months ago
Probabilistic Modeling-Based Vessel Enhancement in Thoracic CT Scans
Vessel enhancement in volumetric data is a necessary prerequisite in various medical imaging applications with particular importance for automated nodule detection. Ideally, vesse...
Gady Agam, Changhua Wu
CVPR
2005
IEEE
15 years 12 months ago
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
Evgeniy Bart, Shimon Ullman
CVPR
2005
IEEE
15 years 12 months ago
Matching with PROSAC - Progressive Sample Consensus
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
Ondrej Chum, Jiri Matas