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Carte Learning Visual Feature Hierarchies Fabien Scalzo

Learning Visual Feature Hierarchies

A probabilistic model of visual processing

Autor: Fabien Scalzo
Limbă: engleză
Legare: Carte broșată
Editura: VDM Verlag Dr. Müller
Disponibilitate: La editor doar la comandă
Expediem în 17-27 zile
405.91 lei
This work addresses the problem of recognizing objects in images. Representation, detection, and lea...

Informații despre carte

Autor
Fabien Scalzo
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2009
Pagini
260
EAN
9783639180022
Enbook ID
06826230
Editura
VDM Verlag Dr. Müller
Greutate
395
Dimensiuni
152 x 220 x 23

Descriere completă

This work addresses the problem of recognizing objects in images. Representation, detection, and learning are the main issues that need to be tackled in designing an object recognition system. This work proposes a framework for the statistical representation of visual features classes. The model combines several key concepts that have been developed in computer vision, machine learning, and computational neuroscience; spatial relations between features, graphical models, and hierarchies of complex cells. This results in a compositional hierarchy of visual feature classes. Its strength is to provide a coherent and generic model by representing both local and global aspects through the combination of shape and appearance modalities. Interestingly, the use of graphical models provides a convenient formalism to represent complex systems and to exploit efficient inference mechanisms, namely Nonparametric Belief Propagation (NBP). The hierarchical model is learned iteratively and composed in a bottom-up manner. We also provide a review of the state-of-the-art with respect to the detection and the description of local visual features.

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