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» The RIM Framework for Image Processing
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ICIAP
2007
ACM
15 years 10 months ago
Sparseness Achievement in Hidden Markov Models
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
Manuele Bicego, Marco Cristani, Vittorio Murino
ISMM
2009
Springer
15 years 4 months ago
Ultimate Attribute Opening Segmentation with Shape Information
In this paper, a method for morphological segmentation using shape information is presented. This method is based on a morphological operator named ultimate attribute opening (UAO)...
Jorge Hernández, Beatriz Marcotegui
DAGM
2001
Springer
15 years 2 months ago
A Probabilistic Approach to Simultaneous Segmentation, Object Recognition, 3D Localization, and Tracking Using Stereo
Vision systems for service robotics applications have to cope with varying environmental conditions, partial occlusions, complex backgrounds and a large number of distractors (clut...
Georg von Wichert
3DIM
1999
IEEE
15 years 2 months ago
Faithful Recovering of Quadric Surfaces from 3D Range Data
The paper proposes a reliable method for estimating quadric surfaces from 3D range data in the framework of object recognition and localization or object modelling. Instead of est...
Naoufel Werghi, Anthony Ashbrook, Robert B. Fisher...
ICIAP
1999
ACM
15 years 2 months ago
A New Deformable Contour Method
In this paper, a new deformable contour method derived from a constrained contour energy minimization framework is presented. By imposing a constraint of region, which can be any ...
Xun Wang, William G. Wee