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» A probabilistic framework for image segmentation
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IROS
2006
IEEE
125views Robotics» more  IROS 2006»
14 years 1 months ago
Integration Framework for Improved Visual Servoing in Image and Cartesian Spaces
— In this paper, we present a new integration method for improving the performance of visual servoing. The method integrates both image-based visual servoing (IBVS) and positionb...
A. H. Abdul Hafez, C. V. Jawahar
IJCV
2006
205views more  IJCV 2006»
13 years 8 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
ICIAR
2004
Springer
14 years 1 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
IJCV
2000
161views more  IJCV 2000»
13 years 7 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
ICIP
2002
IEEE
14 years 9 months ago
Certainty color maps compared to histograms
We present a new segmentation algorithm based on probabilistic histograms and introduce certainty calculus and certainty color maps to solve the difficult problem of histogram sep...
Jean-Christophe Baillie