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CVPR
2005
IEEE
16 years 8 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
CVPR
2008
IEEE
16 years 8 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
WSCG
2004
232views more  WSCG 2004»
15 years 8 months ago
3D Shape Extraction Using Photographic Tomography with Its Applications
Tomographic imaging is a technique for exploration of a cross-section of an inspected object without destruction. Normally, the input data, known as the projections, are gathered ...
S. Reruang, Withawat Withayachumnankul, Chuchart P...
JUCS
2006
133views more  JUCS 2006»
15 years 6 months ago
The Transformation of the Web: How Emerging Communities Shape the Information we Consume
: To date, one of the main aims of the World Wide Web has been to provide users with information. In addition to private homepages, large professional information providers, includ...
Josef Kolbitsch, Hermann A. Maurer
CGF
2005
252views more  CGF 2005»
15 years 6 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...