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» Covariant Derivatives and Vision
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CVPR
2004
IEEE
15 years 1 months ago
Robust Error Metric Analysis for Noise Estimation in Image Indexing
In many computer vision algorithms, the well known Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when t...
Qi Tian, Jie Yu, Qing Xue, Nicu Sebe, Thomas S. Hu...
ECCV
2010
Springer
15 years 9 days ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
ICPR
2010
IEEE
14 years 11 months ago
Local Rotation Invariant Patch Descriptors for 3D Vector Fields
In this paper, we present two novel methods for the fast computation of local rotation invariant patch descriptors for 3D vectorial data. Patch based algorithms have recently becom...
Fehr Janis
CVPR
2006
IEEE
15 years 12 months ago
The Panum Proxy Algorithm for Dense Stereo Matching over a Volume of Interest
Stereo matching algorithms conventionally match over a range of disparities sufficient to encompass all visible 3D scene points. Human vision however does not do this. It works ov...
Ankur Agarwal, Andrew Blake
ICIP
2007
IEEE
15 years 11 months ago
Epipolar Spaces and Optimal Sampling Strategies
If precise calibration information is unavailable, as is often the case for active binocular vision systems, the determination of epipolar lines becomes untenable. Yet, even witho...
James Monaco, Alan C. Bovik, Lawrence K. Cormack