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    MARKOV RANDOM FIELD MODELING IN IMAGE ANALYSIS
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    691009

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    Sinopse

    Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.
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    ISBN9781849967679
    Pré vendaNão
    Peso429g
    Livro disponível - pronta entregaNão
    IdiomaInglês
    Tipo itemLivro Importado
    Número de páginas384
    Número da edição3ª EDIÇÃO - 2010
    Código Interno691009
    Código de barras9781849967679
    AcabamentoPAPERBACK
    AutorLI, STAN Z.
    EditoraSPRINGER VERLAG
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