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» Joint Priors for Variational Shape and Appearance Modeling
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ICASSP
2011
IEEE
12 years 11 months ago
Variational methods for spectral unmixing of hyperspectral images
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
ICCV
2011
IEEE
12 years 7 months ago
Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu,...
ICPR
2010
IEEE
13 years 11 months ago
Non-Parametric 3D Shape Warping
— A method is presented for non-rigid alignment of a source shape to a target shape through estimating and interpolating point-wise correspondences between their surfaces given a...
Ulrich Hillenbrand
IPMI
2007
Springer
14 years 8 months ago
Geometrically Proper Models in Statistical Training
In deformable model segmentation, the geometric training process plays a crucial role in providing shape statistical priors and appearance statistics that are used as likelihoods. ...
Qiong Han, Derek Merck, Josh Levy, Christina Villa...
CVPR
2008
IEEE
14 years 9 months ago
Local minima free Parameterized Appearance Models
Parameterized Appearance Models (PAMs) (e.g. Eigentracking, Active Appearance Models, Morphable Models) are commonly used to model the appearance and shape variation of objects in...
Minh Hoai Nguyen, Fernando De la Torre