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» A Statistical Shape Model without Using Landmarks
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CVPR
2007
IEEE
14 years 11 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
CVIU
2006
166views more  CVIU 2006»
13 years 9 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
ICANN
2003
Springer
14 years 2 months ago
A Neural Model of Binding and Capacity in Visual Working Memory
The number of objects that can be maintained in visual working memory without interference is limited. We present simulations of a model of visual working memory in ventral prefron...
Gwendid T. van der Voort van der Kleij, Marc de Ka...
SPIEVIP
2010
13 years 11 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
ICCV
2009
IEEE
15 years 2 months ago
Active Appearance Models with Rotation Invariant Kernels
2D Active Appearance Models (AAM) and 3D Morphable Models (3DMM) are widely used techniques. AAM provide a fast fitting process, but may represent unwanted 3D transformations un...
Onur C. Hamsici, Aleix M. Martinez