04219oam 2200721Ka 450 991080617870332120190503073358.01-283-25865-X97866132586560-262-29835-X3634472(CKB)2550000000047426(EBL)3339283(SSID)ssj0000538930(PQKBManifestationID)12232587(PQKBTitleCode)TC0000538930(PQKBWorkID)10568490(PQKB)10854892(MiAaPQ)EBC3339283(OCoLC)750172643(OCoLC)754329750(OCoLC)816862196(OCoLC)961498466(OCoLC)962671846(OCoLC)988450475(OCoLC)991917808(OCoLC)1037934790(OCoLC)1038677992(OCoLC)1053900482(OCoLC)1055382967(OCoLC)1062871103(OCoLC)1081227245(OCoLC-P)750172643(MaCbMITP)8579(Au-PeEL)EBL3339283(CaPaEBR)ebr10496272(CaONFJC)MIL325865(OCoLC)750172643(EXLCZ)99255000000004742620110907d2011 uy 0engur|n|---|||||txtccrMarkov random fields for vision and image processing /edited by Andrew Blake, Pushmeet Kohli, and Carsten RotherCambridge, Mass. MIT Press©20111 online resource (472 p.)Description based upon print version of record.0-262-01577-3 Includes bibliographical references and index.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 Video10 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 Analyzing Convex Relaxations for MAP Estimation; 17 MAP Inference by Fast Primal-Dual Linear Programming18 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; IndexState-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.Image processingMathematicsComputer graphicsMathematicsComputer visionMathematicsMarkov random fieldsNEUROSCIENCE/Visual NeuroscienceCOMPUTER SCIENCE/GeneralImage processingMathematics.Computer graphicsMathematics.Computer visionMathematics.Markov random fields.006.3/70151Blake Andrew1956-1681223Kohli Pushmeet1681224Rother Carsten1681225OCoLC-POCoLC-PBOOK9910806178703321Markov random fields for vision and image processing4050510UNINA