LEADER 00584nam 2200205zu 450 001 9911015745703321 005 20241220031957.0 035 $a(CKB)37040956600041 035 $a(EXLCZ)9937040956600041 100 $a20241220|2022uuuu || | 101 0 $aIta 135 $aur||||||||||| 200 10$aAbschied : l'ultimo anno di vita di Gustav Mahler 210 $cManzoni editore$d2022 311 08$a9791280635136 700 $aNapoli$b Ettore$0513937 906 $aBOOK 912 $a9911015745703321 996 $aAbschied : l'ultimo anno di vita di Gustav Mahler$94407342 997 $aUNINA LEADER 05864nam 2200853Ia 450 001 9911006626303321 005 20250904210249.0 010 $a9786612120671 010 $a9781282120679 010 $a1282120670 010 $a9780080878003 010 $a0080878008 035 $a(CKB)1000000000754951 035 $a(EBL)534925 035 $a(OCoLC)424583971 035 $a(SSID)ssj0000206338 035 $a(PQKBManifestationID)11183912 035 $a(PQKBTitleCode)TC0000206338 035 $a(PQKBWorkID)10226925 035 $a(PQKB)10515751 035 $a(MiAaPQ)EBC534925 035 $a(CaSebORM)9780123746337 035 $a(OCoLC)794060474 035 $a(OCoLC)ocn794060474 035 $a(EXLCZ)991000000000754951 100 $a20090416d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMulti-camera networks $eprinciples and applications /$fHamid Aghajan, Andrea Cavallaro, [editors] 205 $a1st edition 210 $aAmsterdam ;$aBoston $cElsevier, AP$dc2009 215 $a1 online resource (623 p.) 300 $aDescription based upon print version of record. 311 08$a9780123746337 311 08$a0123746337 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Multi-Camera Networks; Copyright Page; Table of Contents; Foreword; Preface; Part 1: Multi-Camera Calibration and Topology; Chapter 1. Multi-View Geometry for Camera Networks; 1.1 Introduction; 1.2 Image Formation; 1.2.1 Perspective Projection; 1.2.2 Camera Matrices; 1.2.3 Estimating the Camera Matrix; 1.3 Two-Camera Geometry; 1.3.1 Epipolar Geometry and Its Estimation; 1.3.2 Relating the Fundamental Matrix to the Camera Matrices; 1.3.3 Estimating the Fundamental Matrix; 1.4 Projective Transformations; 1.4.1 Estimating Projective Transformations 327 $a1.4.2 Rectifying Projective Transformations1.5 Feature Detection and Matching; 1.6 Multi-Camera Geometry; 1.6.1 Affine Reconstruction; 1.6.2 Projective Reconstruction; 1.6.3 Metric Reconstruction; 1.6.4 Bundle Adjustment; 1.7 Conclusions; 1.7.1 Resources; References; Chapter 2. Multi-View Calibration, Synchronization, and Dynamic Scene Reconstruction; 2.1 Introduction; 2.2 Camera Network Calibration and Synchronization; 2.2.1 Epipolar Geometry from Dynamic Silhouettes; 2.2.2 Related Work; 2.2.3 Camera Network Calibration; 2.2.4 Computing the Metric Reconstruction 327 $a2.2.5 Camera Network Synchronization2.2.6 Results; 2.3 Dynamic Scene Reconstruction from Silhouette Cues; 2.3.1 Related Work; 2.3.2 Probabilistic Framework; 2.3.3 Automatic Learning and Tracking; 2.3.4 Results and Evaluation; 2.4 Conclusions; References; Chapter 3. Actuation-Assisted Localization of Distributed Camera Sensor Networks; 3.1 Introduction; 3.2 Methodology; 3.2.1 Base Triangle; 3.2.2 Large-Scale Networks; 3.2.3 Bundle Adjustment Refinement; 3.3 Actuation Planning; 3.3.1 Actuation Strategies; 3.3.2 Actuation Termination Rules; 3.4 System Description; 3.4.1 Actuated Camera Platform 327 $a3.4.2 Optical Communication Beaconing3.4.3 Network Architecture; 3.5 Evaluation; 3.5.1 Localization Accuracy; 3.5.2 Node Density; 3.5.3 Latency; 3.6 Conclusions; References; Chapter 4. Building an Algebraic Topological Model of Wireless Camera Networks; 4.1 Introduction; 4.2 Mathematical Background; 4.2.1 Simplicial Homology; 4.2.2 Example; 4.2.3 Cech Theorem; 4.3 The Camera and the Environment Models; 4.4 The CN-Complex; 4.5 Recovering Topology: 2D Case; 4.5.1 Algorithms; 4.5.2 Simulation in 2D; 4.6 Recovering Topology: 2.5D Case; 4.6.1 Mapping from 2.5D to 2D; 4.6.2 Building the CN-Complex 327 $a4.6.3 Experimentation4.7 Conclusions; References; Chapter 5. Optimal Placement of Multiple Visual Sensors; 5.1 Introduction; 5.1.1 Related Work; 5.1.2 Organization; 5.2 Problem Formulation; 5.2.1 Definitions; 5.2.2 Problem Statements; 5.2.3 Modeling a Camera's Field of View; 5.2.4 Modeling Space; 5.3 Approaches; 5.3.1 Exact Algorithms; 5.3.2 Heuristics; 5.3.3 Random Selection and Placement; 5.4 Experiments; 5.4.1 Comparison of Approaches; 5.4.2 Complex Space Examples; 5.5 Possible Extensions; 5.6 Conclusions; References; Chapter 6. Optimal Visual Sensor Network Configuration; 6.1 Introduction 327 $a6.1.1 Organization 330 $aThe first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applicationsPresents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware This book is the definitive reference in multi-camera 606 $aSensor networks 606 $aCameras 606 $aComputer vision 606 $aComputer networks 606 $aSignal processing$xDigital techniques 606 $aElectronic surveillance 606 $aVideo recording 615 0$aSensor networks. 615 0$aCameras. 615 0$aComputer vision. 615 0$aComputer networks. 615 0$aSignal processing$xDigital techniques. 615 0$aElectronic surveillance. 615 0$aVideo recording. 676 $a621.38834 676 $a621.38928 676 $a621.38928 700 $aAghajan$b Hamid K$0969108 701 $aAghajan$b Hamid K$0969108 701 $aCavallaro$b Andrea$01752126 712 02$aScienceDirect (Online service) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911006626303321 996 $aMulti-camera networks$94389047 997 $aUNINA