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» A probabilistic framework for image segmentation
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ISVC
2005
Springer
14 years 1 months ago
Image Smoothing and Segmentation by Graph Regularization
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which leads to a family of nonlinear filters, such as the bilateral filter or the TV digi...
Sébastien Bougleux, Abderrahim Elmoataz
AMR
2007
Springer
203views Multimedia» more  AMR 2007»
14 years 2 months ago
Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation
Recent approaches in Automatic Image Annotation (AIA) try to combine the expressiveness of natural language queries with approaches to minimize the manual effort for image annotat...
Christian Hentschel, Sebastian Stober, Andreas N&u...
ECCV
2000
Springer
14 years 9 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
ICARCV
2002
IEEE
126views Robotics» more  ICARCV 2002»
14 years 24 days ago
Gesture recognition using a probabilistic framework for pose matching
This paper presents an approach for view-based recognition of gestures. The approach is based on representing each gesture as a sequence of learned body poses. The gestures are re...
Ahmed M. Elgammal, Vhay Shet, Yaser Yacoob, Larry ...
ISBI
2008
IEEE
14 years 8 months ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering