Surface Reconstruction by Propagating 3D Stereo Data in Multiple 2D Images 1st edition by Gang Zeng, Sylvain Paris, Long Quan, Maxime Lhuillier ISBN 3540219842 9783540219842

Surface Reconstruction by Propagating 3D Stereo Data in Multiple 2D Images 1st edition by Gang Zeng, Sylvain Paris, Long Quan, Maxime Lhuillier – Ebook PDF Instant Download/Delivery. 3540219842, 978-3540219842
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Product details:

ISBN 10:       3540219842
ISBN 13: 978-3540219842
Author:         Gang Zeng, Sylvain Paris, Long Quan, Maxime Lhuillier
 

Surface Reconstruction by Propagating 3D Stereo Data in Multiple 2D Images 1s Table of contents:

• Introduction

  • 1.1 Background and Motivation
  • 1.2 Surface Reconstruction and Its Importance in 3D Modeling
  • 1.3 The Role of Stereo Data in Surface Reconstruction
  • 1.4 Propagation of 3D Information Across Multiple 2D Images
  • 1.5 Objectives and Contributions of the Paper
  • 1.6 Structure of the Paper

• Related Work

  • 2.1 Overview of Surface Reconstruction Techniques
  • 2.2 Traditional Approaches to 3D Stereo Vision
  • 2.3 Methods for Propagating 3D Stereo Data in Multiple Views
  • 2.4 Advances in Surface Reconstruction Using Multiple 2D Images
  • 2.5 Limitations and Challenges in Existing Approaches

• Fundamentals of Stereo Vision and 3D Reconstruction

  • 3.1 Principles of Stereo Imaging and Depth Estimation
  • 3.2 Epipolar Geometry and Correspondence Matching
  • 3.3 Depth Map Generation from Stereo Pairs
  • 3.4 3D Point Cloud Representation
  • 3.5 Challenges in Stereo Vision: Occlusions, Noise, and Calibration

• Mathematical and Computational Framework

  • 4.1 Representation of 3D Surfaces Using Stereo Data
  • 4.2 Geometric Transformation of 3D Data Across Multiple 2D Images
  • 4.3 Data Propagation Models: Interpolation and Extrapolation
  • 4.4 Multiview Geometry and the Integration of Multiple 2D Images
  • 4.5 Algorithms for Surface Reconstruction from Stereo and 2D Data

• Propagation of 3D Stereo Data

  • 5.1 Principles of Propagating 3D Data Across 2D Images
  • 5.2 Spatial and Temporal Propagation Techniques
  • 5.3 Combining Depth Information from Multiple Views
  • 5.4 Optimization of Data Propagation for Accurate Reconstruction
  • 5.5 Robustness Against Noise and Incomplete Data
  • 5.6 Computational Complexity of Propagation Algorithms

• Surface Reconstruction Methodology

  • 6.1 Overview of the Surface Reconstruction Pipeline
  • 6.2 Step 1: Extraction of Stereo Data from Multiple 2D Images
  • 6.3 Step 2: Propagation of 3D Information Between Views
  • 6.4 Step 3: Fusion of Propagated Data for Surface Estimation
  • 6.5 Step 4: Refining the 3D Surface Model
  • 6.6 Step 5: Post-Processing for Smoothing and Noise Reduction
  • 6.7 Final Surface Reconstruction and Visualization

• Experimental Setup and Evaluation

  • 7.1 Datasets Used for Surface Reconstruction
  • 7.2 Preprocessing of Stereo Data and Image Registration
  • 7.3 Evaluation Metrics: Surface Accuracy and Reconstruction Quality
  • 7.4 Results from Reconstruction Experiments on Different Datasets
  • 7.5 Comparative Analysis: Proposed Method vs. Traditional Techniques

• Results and Discussion

  • 8.1 Visual and Quantitative Results of Surface Reconstruction
  • 8.2 Impact of Data Propagation on Surface Quality
  • 8.3 Evaluation of Reconstruction Accuracy in Complex Scenarios
  • 8.4 Robustness of the Approach to Noise and Missing Data
  • 8.5 Applications in 3D Modeling, Robotics, and Virtual Reality
  • 8.6 Limitations and Trade-offs of the Proposed Method

• Applications

  • 9.1 3D Object Modeling and Computer Graphics
  • 9.2 Robotics and Navigation: Terrain Reconstruction
  • 9.3 Medical Imaging: Reconstruction of Anatomical Structures
  • 9.4 Cultural Heritage Preservation and Archaeology
  • 9.5 Augmented and Virtual Reality Systems

• Challenges and Future Directions

  • 10.1 Handling Large-Scale Data and Real-Time Reconstruction
  • 10.2 Improving Robustness in Challenging Environments (e.g., Low-Light, Occlusions)
  • 10.3 Extending the Method to Dynamic and Non-Rigid Surfaces
  • 10.4 Integration with Other 3D Reconstruction Techniques (e.g., LIDAR, SLAM)
  • 10.5 Future Trends in Multiview Surface Reconstruction

• Conclusion

  • 11.1 Summary of Contributions and Key Findings
  • 11.2 Practical Implications of Surface Reconstruction with Stereo Data Propagation
  • 11.3 Closing Remarks and Future Work

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