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1. |
Record Nr. |
UNINA990007476490403321 |
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Autore |
Quattrucci, Angela |
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Titolo |
La Magona del ferro : gestione aziendale e provvidenze sociali nell'evoluzione delle fabbriche del Granducato di Toscana (XIII-XIX Secolo) : carte e documenti della "Magona. Appendice II" e della " Imperiale e Reale Amministrazione delle Miniere e Fonderie del Ferro ". - |
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Pubbl/distr/stampa |
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ISBN |
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Descrizione fisica |
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Collana |
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Nuove ricerche di storia ; 13 |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9911153161903321 |
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Titolo |
Markov random fields for vision and image processing / / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, ©2011 |
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ISBN |
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1-283-25865-X |
9786613258656 |
0-262-29835-X |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (472 p.) |
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Altri autori (Persone) |
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BlakeAndrew <1956-> |
KohliPushmeet |
RotherCarsten |
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Disciplina |
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Soggetti |
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Image processing - Mathematics |
Computer graphics - Mathematics |
Computer vision - Mathematics |
Markov random fields |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover ; Contents; 1 Introduction to Markov Random Fields; I Algorithms for Inference of MAP Estimates for MRFs; 2 Basic Graph Cut Algorithms; 3 Optimizing Multilabel MRFs Using Move-Making Algorithms; 4 Optimizing Multilabel MRFs with Convex and Truncated Convex Priors; 5 Loopy Belief Propagation, Mean Field Theory, and Bethe Approximations; 6 Linear Programming and Variants of Belief Propagation; II Applications of MRFs, including Segmentation; 7 Interactive Foreground Extraction; 8 Continuous-Valued MRF for Image Segmentation; 9 Bilayer Segmentation of Video |
10 MRFs for Superresolution and Texture Synthesis11 A Comparative Study of Energy Minimization Methods for MRFs; III Further Topics: Inference, Parameter Learning, and Continuous Models; 12 Convex Relaxation Techniques for Segmentation, Stereo, and Multiview Reconstruction; 13 Learning Parameters in Continuous-Valued Markov Random Fields; 14 Message Passing with Continuous Latent Variables; 15 Learning Large-Margin Random Fields Using Graph Cuts; 16 |
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Analyzing Convex Relaxations for MAP Estimation; 17 MAP Inference by Fast Primal-Dual Linear Programming |
18 Fusion-Move Optimization for MRFs with an Extensive Label SpaceIV Higher-Order MRFs and Global Constraints; 19 Field of Experts; 20 Enforcing Label Consistency Using Higher-Order Potentials; 21 Exact Optimization for Markov Random Fields with Nonlocal Parameters; 22 Graph Cut-Based Image Segmentation with Connectivity Priors; V Advanced Applications of MRFs; 23 Symmetric Stereo Matching for Occlusion Handling; 24 Steerable Random Fields for Image Restoration; 25 Markov Random Fields for Object Detection; 26 SIFT Flow; 27 Unwrap Mosaics; Bibliography; Contributors; Index |
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Sommario/riassunto |
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State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. |
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