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» Feature Uncertainty Arising from Covariant Image Noise
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MICCAI
2005
Springer
14 years 6 months ago
Uncertainty in White Matter Fiber Tractography
In this work we address the uncertainty associated with fiber paths obtained in white matter fiber tractography. This uncertainty, which arises for example from noise and partial v...
Ola Friman, Carl-Fredrik Westin
CVPR
2006
IEEE
14 years 7 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
ECCV
2004
Springer
14 years 6 months ago
Evaluation of Robust Fitting Based Detection
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
ECCV
2000
Springer
13 years 9 months ago
Factorization with Uncertainty
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
Michal Irani, P. Anandan
ICRA
2005
IEEE
100views Robotics» more  ICRA 2005»
13 years 11 months ago
Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms
— Image gradient-based feature detectors offer great advantages over their standard edge-only equivalents. In driver support systems research, the radial symmetry detection algor...
Nick Barnes