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» Blur kernel estimation using the Radon Transform
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WSCG
2004
166views more  WSCG 2004»
13 years 8 months ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu
ISBI
2004
IEEE
14 years 8 months ago
3D Region of Interest X-Ray CT for Geometric Magnification from Multiresolution Acquisitions
We present an algorithm which allows us to reconstruct a RegionOf-Interest (ROI) from transaxial truncated cone-beam projections. While sometimes it is possible to reconstruct goo...
Greg Tisson, Paul Scheunders, Dirk Van Dyck
DAGM
2006
Springer
13 years 11 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
ICIP
2008
IEEE
14 years 9 months ago
Dark line detection with line width extraction
Automated line detection is a classical image processing topic with many applications such as road detection in remote images and vessel detection in medical images. Many traditio...
Qin Li, Lei Zhang, Jane You, David Zhang, Prabir B...
ICCV
2007
IEEE
14 years 9 months ago
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in l...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin