Autore	Dunford, Nelson
Pubbl/distr/stampa	New York [etc.], : Wiley, 1988
Descrizione fisica	P. XIX, 1925-2592 ; 23 cm.
Altri autori (Persone)	Schwartz, Jacob T.
Soggetto topico	47-XX - Operator theory [MSC 2020] 47A10 - Spectrum, resolvent [MSC 2020] 47B40 - Spectral operators, decomposable operators, well-bounded operators, etc. [MSC 2020]
ISBN	978-04-7160-846-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNICAMPANIA-SUN0061554

Pubbl/distr/stampa	Hoboken, New Jersey : , : Wiley, , [2022]
Descrizione fisica	1 online resource (243 pages)
Disciplina	550.284
Soggetto topico	Three-dimensional imaging in geology
Soggetto genere / forma	Electronic books.
ISBN	1-119-31391-0 1-119-31392-9
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 Abstract -- 1.1 Introduction -- 1.2 DOM/SM Reconstruction and Interpretation Workflows -- 1.3 Morphometric Analysis Across Different Scales and Planets -- 1.4 3D Modelling of the Subsurface from Surface Data -- 1.5 Summary and Perspectives -- Acknowledgments -- References -- Part I DOM and SM Reconstruction and Interpretation Workflows -- Chapter 2 Abstract -- 2.1 Introduction -- 2.2 Photogrammetric Surveys and Processing for DOMs -- 2.2.1 Calculating Ground Resolution for Photogrammetric Surveys -- 2.2.2 Terrestrial Surveys for SFM -- 2.2.3 Drone Surveys for SFM -- 2.2.4 Image Quality and Pre‐processing -- 2.2.5 Photogrammetric Processing with SFM Software Packages -- 2.2.5.1 Graphical User Interface (GUI) -- 2.2.5.2 Usage of Georeferencing Data -- 2.2.5.3 Lens Distortion Models -- 2.2.5.4 GPU (Graphical Processing Unit) Computation -- 2.2.5.5 Control on Accuracy and Noise -- 2.3 Point‐Cloud vs. Textured‐Surface DOMs -- 2.3.1 Point‐Cloud DOMs -- 2.3.2 Textured‐Surface DOMs -- 2.4 Geological Interpretation of DOMs -- 2.4.1 Interpretation on Point‐Cloud DOMs -- 2.4.2 Interpretation on Textured‐Surface DOMs -- 2.5 Discussion and Conclusion -- 2.5.1 Data Acquisition: Platform -- 2.5.2 Data Acquisition: Laser Scanning vs. Photogrammetry -- 2.5.3 Pointcloud vs. Textured Surface DOMs -- 2.6 Summary and Perspectives -- Acknowledgments -- References -- Chapter 3 Abstract -- 3.1 Introduction -- 3.2 Components and Methods -- 3.2.1 Overview -- 3.2.2 PRoDB-A Geospatial Data Base for Planetary Data -- 3.2.3 PRoViP-A Computer Vision Processing Chain to Create 3D Reconstructions -- 3.2.3.1 Image‐Based 3D Reconstruction -- 3.2.3.2 Ordered Point Clouds (OPC) -- 3.2.4 Super‐Resolution Restoration (SRR) Processing. 3.2.5 PRoGIS-Geographic Information System for Planetary Scientists -- 3.2.6 PRo3D-Virtual Exploration and Visual Analysis of 3D Products -- 3.2.6.1 Virtual Exploration -- 3.2.6.2 Tools for Measurements and Geological Annotations -- 3.2.6.3 Implementation Decisions and Technological Choices -- 3.2.7 Typical Workflow -- 3.3 Geological Interpretations of DOMs -- 3.3.1 Victoria Crater -- 3.3.1.1 Analysis at Cape Desire -- 3.3.1.2 Discussion -- 3.3.2 Yellowknife Bay -- 3.3.2.1 Analysis at Yellowknife Bay -- 3.3.2.2 Discussion -- 3.4 Conclusions -- Acknowledgments -- References -- Chapter 4 Abstract -- 4.1 Introduction -- 4.2 Vombat -- 4.2.1 Example of Workflow -- 4.2.2 Estimation of the Average Bedding Attitude -- 4.2.3 Stratigraphic Reference Frames -- 4.2.4 Vombat Objects and Their Stratigraphic Positions -- 4.2.5 Stratigraphic Constraints to Build Composite Reference Frames -- 4.2.6 Creation of Continuous Stratigraphic Logs -- 4.2.7 Regions of Interest -- 4.2.8 Input/Output and Log Plotting -- 4.3 Examples -- 4.3.1 Locating Samples on a TLS Intensity Log -- 4.3.2 Using Stratigraphic Constraints to Match Field Data -- 4.4 Discussion -- 4.5 Conclusions -- Acknowledgment -- References -- Chapter 5 Abstract -- 5.1 Introduction -- 5.2 The Geological Setting: The Saltwick Formation -- 5.3 From Geological Surface Interpretation to Statistical Subsurface 3D Models -- 5.3.1 Digital Geological Interpretation Mapping -- 5.3.2 The MPS Facies Modelling and Simulation for Subsurface Reservoirs -- 5.4 Mobile Interpretation Using Image‐to‐Geometry Techniques -- 5.4.1 Image Acquisition -- 5.4.2 Image‐to‐Geometry Registration -- 5.4.3 Image Interpretation -- 5.4.4 Office‐Based Quality Control -- 5.5 Model Construction -- 5.6 Multiple Point Statistics Simulation of the Saltwick Formation -- 5.7 Discussion -- Acknowledgments -- References -- Chapter 6 Abstract. 6.1 Introduction -- 6.2 The DOMStudioImage Toolbox -- 6.3 Lineament Detection Workflow -- 6.3.1 Image Preprocessing: Conversion to Grayscale and Adaptive Histogram Equalization -- 6.3.2 Lineament Detection Algorithms -- 6.3.3 MRF‐ICM: Markov Random Field ICM Segmentation -- 6.3.4 DoG: Difference of Gaussian Filter -- 6.3.5 PhSym: Phase Symmetry Line Detection -- 6.3.6 CSPhCon: Complex Shearlet Phase Congruency Ridge Detector -- 6.3.7 Lineament Thinning and Skeletonization -- 6.4 Results on Geological Images -- 6.5 Discussion -- 6.6 Conclusions -- References -- Part II Morphometric Analysis Across Different Scales and Planets -- Chapter 7 Abstract -- 7.1 Introduction -- 7.2 Test Site and Study Setting -- 7.3 Datasets -- 7.3.1 Description of a Mobile Mapping System -- 7.3.2 Point Clouds and Registration -- 7.3.3 Orthophotography -- 7.4 Point Cloud: Quality Assessment -- 7.4.1 Validation Metrics and Procedure -- 7.4.2 Point Precision for a Single Survey (Pp) -- 7.4.3 Repeatability (R) -- 7.4.4 Threshold Distance to Detect Erosion (Td) -- 7.4.5 Inter‐point Spacing Estimation -- 7.5 LiDAR Data Processing -- 7.5.1 3D to 2.5D Projection Method -- 7.5.2 Point Clouds Comparison Method -- 7.5.3 Point Clouds Segmentation and Visibility Solution -- 7.5.3.1 Classification Method -- 7.5.3.2 Visibility Solving Method (Shadow Effects) -- 7.5.4 Threshold Volume and Erosion Estimation -- 7.6 Results -- 7.6.1 Quality Assessment -- 7.6.2 Erosion Estimation Between Epochs 1 and 3 -- 7.7 Discussion -- 7.8 Conclusion -- Acknowledgments -- Appendix. Script for Unfolding Point Clouds (R) -- References -- Chapter 8 Abstract -- 8.1 Introduction -- 8.1.1 Measuring the Recession Rates of Carbonate Rocks -- 8.1.2 Lava Tubes on Earth and Mars -- 8.2 Micro‐elevation Maps and DEMs Production -- 8.2.1 Carbonate Samples Preparation and Confocal Microscopy Scan. 8.2.2 Stereo DEM Extraction for Mars -- 8.3 Volumes Extraction -- 8.3.1 Carbonate Rock Slabs -- 8.3.2 Mars and Earth -- 8.3.3 Validation of Volume Extraction -- 8.4 Results and Discussion -- 8.5 Conclusions -- References -- Chapter 9 Abstract -- 9.1 Introduction -- 9.2 Related Work -- 9.3 Basic Notions -- 9.3.1 Triangle Mesh -- 9.3.2 Mesh Smoothing -- 9.3.3 Curvatures over a Surface -- 9.3.4 Levels of Detail -- 9.4 Approach Based on Ring Propagation -- 9.4.1 Overview -- 9.4.2 Seeds Search -- 9.4.3 Ring Construction -- 9.4.4 Results and Validation -- 9.5 Approach Based on Circle Fitting -- 9.5.1 Description of the Approach -- 9.5.1.1 Area of Interest and Skeletonization -- 9.5.1.2 Circle Fitting -- 9.5.1.3 Circularity Criterion -- 9.5.2 Results and Validation -- 9.6 Conclusion -- Acknowledgments -- References -- Part III 3D Modelling of the Subsurface from Surface Data -- Chapter 10 Abstract -- 10.1 Introduction -- 10.2 Geological Setting -- 10.3 Methodology -- 10.3.1 Data Section -- 10.3.1.1 Definition of Terms -- 10.3.1.2 Input Data -- 10.3.2 Identification and Assessment of Uncertainties of Input Data Types -- 10.3.3 Data Interpretation: From Remote Sensing to 2D Vector Data -- 10.3.4 Data Projection onto to DEM: From 2D to 3D Data -- 10.3.5 3D Plane Construction: From 3D Intersection Lines to 3D Planes -- 10.3.5.1 3D Best‐Fit Plane from 2D Lineaments -- 10.3.5.2 Dip Calculation for Surface Points Along the Lineament -- 10.3.6 Extrapolation of Surface Data to Depth -- 10.3.7 Assessment of 3D Plane Constructions -- 10.4 Results and Discussion -- 10.4.1 Remote Sensing and 2D Lineament Data -- 10.4.1.1 Uncertainties in 2D Lineament Data -- 10.4.1.2 Discussion of Uncertainties Related to 2D Lineaments -- 10.4.2 Dip Extraction for Remote Sensing 2D Lineament Data -- 10.4.2.1 Uncertainties in Calculated Dip Values. 10.4.2.2 Discussion of Uncertainties Related to 2D Dip Extraction -- 10.4.3 3D Extrapolation to Depth -- 10.4.3.1 Results -- 10.4.3.2 Discussion of Uncertainties Related to Depth Projection -- 10.4.4 Validation of Proposed Extrapolation Approach -- 10.4.5 Structural 3D Model and Shear Zone Map -- 10.5 Summary Discussion and Conclusions -- Acknowledgments -- Appendix A: Topography Effect -- Appendix B: Lineament Map from Remote Sensing Data Acquisition -- Appendix C : Intersection Analysis at Tunnel Level -- References -- Chapter 11 Abstract -- 11.1 Introduction -- 11.1.1 From Terraces to Geological Cross‐sections -- 11.2 A Modelling Strategy for Onion‐Like Layers -- 11.3 Model Fitting -- 11.3.1 Errors Determination -- 11.4 Visualization and Validation of the Models -- 11.5 Conclusions -- Acknowledgments -- References -- Index -- EULA.
Record Nr.	UNINA-9910566695703321

Autore	André Damien
Pubbl/distr/stampa	Hoboken, NJ : , : Wiley, , 2015
Descrizione fisica	1 online resource (175 p.)
Collana	Numerical methods in engineering series : discrete element model and simulation of continuous materials behavior set
Soggetto topico	Materials - Dynamic testing Discrete element method Object-oriented methods (Computer science) UML (Computer science)
Soggetto genere / forma	Electronic books.
ISBN	1-119-23979-6 1-119-11635-X 1-119-23978-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Table of Contents; Title; Copyright; List of Figures; List of Tables; Introduction; I.1. The black box problem; I.2. A numerical tool to study a tribological problem; I.3. Why have we chosen a free license?; I.4. Discrete element methods; I.5. Application to tribological problems; I.6. A brief history of the workbench GranOO; I.7. A design to serve versatility; I.8. Choice of the programming language; I.9. Book organization; 1: Object Oriented Approach and UML; 1.1. Object Oriented (OO) paradigms; 1.2. OO analysis and design; 1.3. UML diagrams; 2: Operating Architecture 2.1. The GranOO package2.2. Compilation process of the executable file; 2.3. Launching a GranOO executable; 2.4. The input files; 2.5. The magic world of the plugins; 2.6. The output files; 3: Focus on Libraries; 3.1. The geometrical library; 3.2. The DEM library; 3.3. The libMySandbox library; 3.4. Conclusion; 4: Tools and Practical Examples of Use of GranOO.; 4.1. Tool overview; 4.2. Granular simulation: the bluewave example; 4.3. The continuous discrete element model; 4.4. Conclusion; Conclusion; Appendices; Appendix 1: Using Quaternions; A1.1. Introduction; A1.2. Norm transformation A1.3. Direction transformationA1.4. Quaternion definition; A1.5. Mathematical properties; A1.6. Quaternion and attitude; A1.7. Quaternion and angular velocity; A1.8. Application to dynamics; A1.9. Numerical integration; A1.10. Conclusion; Appendix 2: Pendulum Problem Complete Code; Bibliography; Index; End User License Agreement
Record Nr.	UNINA-9910131529003321

Autore	Lueder Ernst <1932->
Edizione	[1st edition]
Pubbl/distr/stampa	Hoboken, N.J., : Wiley, 2012
Descrizione fisica	1 online resource (282 p.)
Disciplina	621.3987
Collana	Wiley SID series in display technology
Soggetto topico	Three-dimensional display systems
ISBN	1-119-96304-4 1-283-40493-1 9786613404930 1-119-96276-5 1-119-96275-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	3D Displays; Contents; Preface; Series Preface; Introduction; 1 The Physiology of 3D Perception; 1.1 Binocular Viewing or Human Stereopsis; 1.2 The Mismatch of Accommodation and Disparity and the Depths of Focus and of Field; 1.3 Distance Scaling of Disparity; 1.4 Interocular Crosstalk; 1.5 Psychological Effects for Depth Perception; 1.6 High-Level Cognitive Factor; Acknowledgments; References; 2 Stereoscopic Displays; 2.1 Stereoscopic Displays with Area Multiplexing; 2.1.1 Retarders for the generation of polarizations; 2.1.2 Wire grid polarizers for processing of the second view 2.1.3 Stereoscopic display with two LCDs2.2 Combined Area and Time Division Multiplex for 3D Displays; 2.3 Stereoscopic Time Sequential Displays; 2.3.1 Time sequential viewing with an active retarder; 2.3.2 Fast time sequential 3D displays by the use of OCB LCDs; 2.3.3 Time sequential 3D displays with black insertions; 2.4 Special Solutions for Stereoscopic Displays; 2.5 Stereoscopic Projectors; 2.6 Interleaved, Simultaneous, and Progressive Addressing of AMOLEDs and AMLCDs; 2.7 Photo-Induced Alignment for Retarders and Beam Splitters; Acknowledgments; References; 3 Autostereoscopic Displays 3.1 Spatially Multiplexed Multiview Autostereoscopic Displays with Lenticular Lenses3.2 Spatially Multiplexed Multiview Autostereoscopic Displays with Switchable Lenticular Lenses; 3.3 Autostereoscopic Displays with Fixed and Switchable Parallax Barriers; 3.4 Time Sequential Autostereoscopic Displays and Directional Backlights; 3.4.1 Time sequential displays with special mirrors or 3D films; 3.4.2 Time sequential displays with directionally switched backlights; 3.5 Depth-Fused 3D Displays; 3.6 Single and Multiview 3D Displays with a Light Guide 3.7 Test of 3D Displays and Medical ApplicationsAcknowledgments; References; 4 Assessment of Quality of 3D Displays; 4.1 Introduction and Overview; 4.2 Retrieving Quality Data from Given Images; 4.3 Algorithms Based on Objective Measures Providing Disparity or Depth Maps; 4.3.1 The algorithm based on the sum of absolute differences; 4.3.2 Smoothness and edge detection in images; 4.4 An Algorithm Based on Subjective Measures; 4.5 The Kanade-Lucas-Toman (KLT) Feature Tracking Algorithm; 4.6 Special Approaches for 2D to 3D Conversion; 4.6.1 Conversion of 2D to 3D images based on motion parallax 4.6.2 Conversion from 2D to 3D based on depth cues in still pictures4.6.3 Conversion from 2D to 3D based on gray shade and luminance setting; 4.7 Reconstruction of 3D Images from Disparity Maps Pertaining to Monoscopic 2D or 3D Originals; 4.7.1 Preprocessing of the depth map; 4.7.2 Warping of the image creating the left and the right eye views; 4.7.3 Disocclusions and hole-filling; 4.7.4 Special systems for depth image-based rendering (DIBR); Acknowledgments; References; 5 Integral Imaging; 5.1 The Basis of Integral Imaging 5.2 Enhancement of Depth, Viewing Angle, and Resolution of 3D Integral Images
Record Nr.	UNINA-9910139746103321

Autore	Daoudi Mohamed <1964->
Pubbl/distr/stampa	Singapore, : Wiley, 2013
Descrizione fisica	1 online resource (221 p.)
Disciplina	006.6/93
Altri autori (Persone)	SrivastavaAnuj <1968-> VeltkampRemco C. <1963->
Soggetto topico	Face - Computer simulation Human face recognition (Computer science) Three-dimensional imaging
Soggetto genere / forma	Electronic books.
ISBN	1-118-59263-8 1-118-59265-4 1-118-59264-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	3D FACE MODELING, ANALYSIS AND RECOGNITION; Contents; Preface; List of Contributors; 1 3D Face Modeling; 1.1 Challenges and Taxonomy of Techniques; 1.2 Background; 1.2.1 Depth from Triangulation; 1.2.2 Shape from Shading; 1.2.3 Depth from Time of Flight (ToF); 1.3 Static 3D Face Modeling; 1.3.1 Laser-stripe Scanning; 1.3.2 Time-coded Structured Light; 1.3.3 Multiview Static Reconstruction; 1.4 Dynamic 3D Face Reconstruction; 1.4.1 Multiview Dynamic Reconstruction; 1.4.2 Photometric Stereo; 1.4.3 Structured Light; 1.4.4 Spacetime Faces; 1.4.5 Template-based Post-processing 1.5 Summary and ConclusionsExercises; References; 2 3D Face Surface Analysis and Recognition Based on Facial Surface Features; 2.1 Geometry of 3D Facial Surface; 2.1.1 Primary 3D Surface Representations; 2.1.2 Rigid 3D Transformations; 2.1.3 Decimation of 3D Surfaces; 2.1.4 Geometric and Topological Aspects of the Human Face; 2.2 Curvatures Extraction from 3D Face Surface; 2.2.1 Theoretical Concepts on 3D Curvatures; 2.2.2 Practical Curvature Extraction Methods; 2.3 3D Face Segmentation; 2.3.1 Curvature-based 3D Face Segmentation; 2.3.2 Bilateral Profile-based 3D Face Segmentation 2.4 3D Face Surface Feature Extraction and Matching2.4.1 Holistic 3D Facial Features; 2.4.2 Regional 3D Facial Features; 2.4.3 Point 3D Facial Features; 2.5 Deformation Modeling of 3D Face Surface; Exercises; References; 3 3D Face Surface Analysis and Recognition Based on Facial Curves; 3.1 Introduction; 3.2 Facial Surface Modeling; 3.3 Parametric Representation of Curves; 3.4 Facial Shape Representation Using Radial Curves; 3.5 Shape Space of Open Curves; 3.5.1 Shape Representation; 3.5.2 Geometry of Preshape Space; 3.5.3 Reparametrization Estimation by Using Dynamic Programming 3.5.4 Extension to Facial Surfaces Shape Analysis3.6 The Dense Scalar Field (DSF); 3.7 Statistical Shape Analysis; 3.7.1 Statistics on Manifolds: Karcher Mean; 3.7.2 Learning Statistical Models in Shape Space; 3.8 Applications of Statistical Shape Analysis; 3.8.1 3D Face Restoration; 3.8.2 Hierarchical Organization of Facial Shapes; 3.9 The Iso-geodesic Stripes; 3.9.1 Extraction of Facial Stripes; 3.9.2 Computing Relationships between Facial Stripes; 3.9.3 Face Representation and Matching Using Iso-geodesic Stripes; Exercises; Glossary; References 4 3D Morphable Models for Face Surface Analysis and Recognition4.1 Introduction; 4.2 Data Sets; 4.3 Face Model Fitting; 4.3.1 Distance Measure; 4.3.2 Iterative Face Fitting; 4.3.3 Coarse Fitting; 4.3.4 Fine Fitting; 4.3.5 Multiple Components; 4.3.6 Results; 4.4 Dynamic Model Expansion; 4.4.1 Bootstrapping Algorithm; 4.4.2 Results; 4.5 Face Matching; 4.5.1 Comparison; 4.5.2 Results; 4.6 Concluding Remarks; Exercises; References; 5 Applications; 5.1 Introduction; 5.2 3D Face Databases; 5.3 3D Face Recognition; 5.3.1 Challenges of 3D Face Recognition; 5.3.2 3D Face Recognition: State of the Art 5.3.3 Partial Face Matching
Record Nr.	UNINA-9910141725603321