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Depth Map and 3D Imaging Applications

Book Description

Depth Map and 3D Imaging Applications: Algorithms and Technologies present various 3D algorithms developed in the recent years and to investigate the application of 3D methods in various domains. Containing five sections, this book offers perspectives on 3D imaging algorithms, 3D shape recovery, stereoscopic vision and autostereoscopic vision, 3D vision for robotic applications, and 3D imaging applications. This book is an important resource for professionals, scientists, researchers, academics, and software engineers in image/video processing and computer vision.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  5. Foreword
  6. Preface
    1. Section 1
    2. Section 2
    3. Section 3
    4. Section 4
    5. Section 5
    6. Final Words
  7. Acknowledgment
  8. Chapter 1: Introduction to 3D Imaging
    1. Abstract
    2. INTRODUCTION
    3. 3D Television
    4. 3D Monitors and Photo Frames
    5. 3D GLASSES
    6. 3D DISC PLAYERS
    7. 3D GAMES
    8. 3D CAMERAS
    9. 3D COMPUTERS
    10. 3D PRINTERS
    11. 3D MOBILE PHONES
    12. AUTOSTEREOSCOPIC 3D TV
    13. 3D PRODUCTION
    14. 3D STANDARDS
    15. 3D TV: MARKET FORECAST
    16. Conclusion And FuTURE dIRECTIONS
  9. Section 1: 3D Imaging Methods
    1. Chapter 2: Multi-View Stereo Reconstruction Technique
      1. Abstract
      2. INTRODUCTION
      3. CAMERA CALIBRATION
      4. IMAGE ACQUISITION AND PROCESSING
      5. SHAPE FROM SILHOUETTE
      6. MULTI-VIEW STEREO RECONSTRUCTION
      7. BENCHMARK
      8. FuTURE rESEARCH dIRECTIONS
      9. Conclusion
    2. Chapter 3: Forward Projection for Use with Iterative Reconstruction
      1. Abstract
      2. INTRODUCTION
      3. ITERATIVE RECONSTRUCTION TECHNIQUES
      4. EFFECT OF MODELLING OF FORWARD PROJECTOR ERRORS ON ITERATIVE RECONSTRUCTION METHODS
      5. ACCURACY OF MODELLING OF FORWARD PROJECTOR: ISSUE AND SOLUTION
      6. CONCLUSION
    3. Chapter 4: Algorithms for 3D Map Segment Registration
      1. Abstract
      2. introduction
      3. Mobile Mapping with Color Point Cloud Scanners
      4. Algorithms for Registering Map Segments
      5. HUE-ASSISTED ITERATIVE CLOSEST POINT (H-ICP) ALGORITHM
      6. Map Registration with ICP and H-ICP
      7. Future Research directions
      8. ConcluSION
    4. Chapter 5: 3D Shape Compression Using Holoimage
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. holoimagE Technique
      5. FuTURE rESEARCH dIRECTIONS
      6. Conclusion
    5. Chapter 6: Restoration and Enhancement of Digitally Reconstructed Holographic Images
      1. ABSTRACT
      2. INTRODUCTION
      3. DIGITAL HOLOGRAPHY: GENERAL PRINCIPLES AND FORMATION OF SPECKLE NOISE
      4. RESULTS AND COMPARISONS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    6. Chapter 7: High-Speed, High-Resolution 3D Imaging Using Projector Defocusing
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Main FOCUS OF the CHAPTER
      5. FuTURE rESEARCH dIRECTIONS
      6. Conclusion
  10. Section 2: Shape From X: Algorithms & Techniques
    1. Chapter 8: Three-Dimensional Scene Reconstruction
      1. Abstract
      2. INTRODUCTION
      3. GEOMETRIC APPROACHES
      4. PHOTOMETRIC APPROACHES
      5. REAL APERTURE approaches
      6. FuTURE rESEARCH challenges
      7. Conclusion
    2. Chapter 9: Comparison of Focus Measures under the Influence of Various Factors Effecting their Performance
      1. Abstract
      2. INTRODUCTION
      3. Evolution of Focusing Methods
      4. Classification of Focus Measures
      5. Approximation Techniques
      6. Experimental Design
      7. Noise Analysis
      8. Texture Reflectance and Illumination
      9. Distance Variation
      10. FuTURE rESEARCH dIRECTIONS
      11. Conclusion
    3. Chapter 10: Image Focus Measure Based on Energy of High Frequency Components in S-Transform
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Focus Measure in S-Transform
      5. results and disscusion
      6. FuTURE rESEARCH dIRECTIONS
      7. Conclusion
    4. Chapter 11: Combining Focus Measures for Three Dimensional Shape Estimation Using Genetic Programming
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Focus Measure vs. depth map
      5. Results and disscussion
      6. FuTURE rESEARCH dIRECTIONS
      7. Conclusion
    5. Chapter 12: “Scanning from Heating” and “Shape from Fluorescence”
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. “Shape from Heating” for 3D digitization of transparent object
      5. “Shape from FLUORESCENCE” for 3D digitization of transparent object
      6. FuTURE rESEARCH dIRECTIONS
      7. Conclusion
  11. Section 3: Stereoscopy & Autostereoscopy
    1. Chapter 13: Modular Stereo Vision
      1. Abstract
      2. INTRODUCTION
      3. COMPUTATIONAL STEREO VISION
      4. MODULAR STEREO VISION: BEYOND CLASSIFICATION
      5. IMPLEMENTING MODULAR STEREO VISION
      6. FuTURE rESEARCH dIRECTIONS
      7. Conclusion
    2. Chapter 14: Stereoscopic Vision for Off-Road Intelligent Vehicles
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. THE WEIGHT OF NOISE IN REAL-TIME FIELD APPLICATIONS
      5. CONFIGURATION OF 3d PERCEPTION ENGINES FOR OFF-ROAD VEHICLES
      6. PROCESSING 3D DATA IN REAL TIME
      7. AGRICULTURAL APPLICATIONS
      8. FuTURE rESEARCH dIRECTIONS
      9. Conclusion
    3. Chapter 15: Effectiveness of New Technology to Compose Stereoscopic Movies1
      1. Abstract
      2. INTRODUCTION—DEPTH ESTIMATION AND VIEW SYNTHESIS
      3. Background
      4. METHODOLOGY TO EVALUATE VISUALLY INDUCED MOTION SICKNESS (VIMS)
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FuTURE rESEARCH dIRECTIONS
      7. Conclusion
    4. Chapter 16: Low-Complexity Stereo Matching and Viewpoint Interpolation in Embedded Consumer Applications
      1. Abstract
      2. Introduction
      3. Stereo Matching and Viewpoint Interpolation
      4. Algorithm-Hardware co-design in stereo matching and viewpoint interpolation
      5. Processing Pipeline Hardware Implementation
      6. Conclusion
    5. Chapter 17: The Use of Watermarking in Stereo Imaging
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. STEREO EMBEDDING
      5. FuTURE rESEARCH dIRECTIONS
      6. Conclusion
    6. Chapter 18: Introduction to Autostereoscopic Displays
      1. Abstract
      2. introduction
      3. Definition
      4. General principle
      5. Screen image
      6. Combination matrices
      7. Optical Layer
      8. Types of optical layers
      9. Autostereoscopic display metrics
      10. Future Research directions
      11. Conclusion
    7. Chapter 19: Multi-View Autostereoscopic Visualization using Bandwidth-Limited Channels
      1. Abstract
      2. INTRODUCTION
      3. BackgrounD
      4. Free-viewpoint interpolation
      5. Compression
      6. Adaptive resolution
      7. FuTURE rESEARCH dIRECTIONS
      8. Conclusion
  12. Section 4: Robotic Vision
    1. Chapter 20: 3D Scene Capture and Analysis for Intelligent Robotics
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. RANGING METHODOLOGY
      5. DISCUSSION AND FUTURE WORK
      6. CONCLUSION
    2. Chapter 21: Stereo Vision Depth Estimation Methods for Robotic Applications
      1. ABSTRACT
      2. INTRODUCTION
      3. ISSUES OF ROBOTICS-ORIENTED STEREO VISION
      4. DEPTH MAPS COMPUTATION
      5. TRAVERSABILITY ESTIMATION
      6. CONCLUSION
    3. Chapter 22: Stereo-Vision-Based Fire Detection and Suppression Robot for Buildings
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Fire Detection and Suppression Robot
      5. Solutions and Recommendations
      6. Experimental Results
      7. FuTURE rESEARCH dIRECTIONS
      8. Conclusion
  13. Section 5: 3D Imaging Applications
    1. Chapter 23: 3D DMB Player and Its Reliable 3D Services in T-DMB Systems
      1. Abstract
      2. INTRODUCTION
      3. Overview of the 3D DMB System
      4. Realistic and Reliable 3D Services on The 3D DMB Player
      5. EXperimental Results
      6. FuTURE rESEARCH dIRECTIONS
      7. Conclusion
    2. Chapter 24: 3D Scanner, State of the Art
      1. Abstract
      2. INTRODUCTION
      3. 3D SCANNERS
      4. OPTICAL 3D SCANNERS
      5. FUTURE RESEARCH DIRECTIONs
      6. Conclusion
    3. Chapter 25: 3D Imaging for Mapping and Inspection Applications in Outdoor Environments
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND: 3D Sensing methods
      4. DATA ACQUISITION and INTEGRATION STRATEGIES for 3D Modeling in OUTDOOR ENVIRONMENTS
      5. The University of Tennessee Approach
      6. APPLICATIONS
      7. Urban Mapping
      8. Conclusion
    4. Chapter 26: 3D Laser Scanner Techniques
      1. Abstract
      2. Introduction: Impact rock (Karikkoselka impact crater)
      3. 3D laser scanner techniques
      4. 3D modelling of impactogenic rock from the Karikkoselkä Lake
      5. Data treatment methodology
      6. Model precision analysis
      7. Dimensional analysis of the model
      8. Results and conclusion
      9. FUTURE RESEARCH DIRECTIONS
    5. Chapter 27: 3D Camera Tracking for Mixed Reality using Multi-Sensors Technology
      1. Abstract
      2. INTRODUCTION
      3. State of the art
      4. Multi-sensors system using Assistance scheme
      5. Conclusion and FuturE Works
    6. Chapter 28: Recovering 3-D Human Body Postures from Depth Maps and Its Application in Human Activity Recognition
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. How to Recover 3-D Human Body Postures from Depth Maps
      5. Human Activity Recognition Using Body Joint AngleS
      6. FuTURE rESEARCH dIRECTIONS
      7. Conclusion
    7. Chapter 29: 3D Face Recognition using an Adaptive Non-Uniform Face Mesh
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. face mesh manipulation
      5. FACE RECOGNITION METHOD
      6. PROPOSED ADAPTIVE NON-UNIFORM FACE MESH CONSTRUCTION METHOD
      7. RESULTS & DISCUSSION
      8. FuTURE rESEARCH dIRECTIONS
      9. Conclusion
    8. Chapter 30: Subject Independent Facial Expression Recognition from 3D Face Models using Deformation Modeling
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. 3D FER: Issues of concern
      5. A NOVEL approach FOR 3D FER
      6. Experiments and Results
      7. FuTURE rESEARCH dIRECTIONS
      8. Conclusion
    9. Chapter 31: 3D Thumbnails for 3D Videos with Depth
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. METHODOLOGY
      6. USER EVALUATION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
  14. About the Contributors
  15. Index