Example Based Stereo with General BRDFs 1st edition by Adrien Treuille, Aaron Hertzmann, Steven Seitz ISBN 3540219835 9783540219835

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Product details:

ISBN 10:       3540219835
ISBN 13: 978-3540219835
Author:      Adrien Treuille, Aaron Hertzmann, Steven M. Seitz   
 

Example-Based Stereo with General BRDFs 1st Table of contents:

1. Introduction

   • 1.1 Background and Motivation
   • 1.2 Stereo Vision and Depth Estimation
   • 1.3 The Role of BRDFs in Stereo Vision
   • 1.4 Example-Based Approaches in Computer Vision
   • 1.5 Objectives and Contributions of the Paper
   • 1.6 Structure of the Paper

2. Related Work

   • 2.1 Stereo Matching Techniques
   • 2.2 Photometric Stereo and BRDF Modeling
   • 2.3 Example-Based Methods in Computer Vision
   • 2.4 Integration of BRDFs in Stereo Vision
   • 2.5 Limitations of Current Stereo Methods with Complex Materials

3. Fundamentals of Stereo Vision

   • 3.1 Introduction to Stereo Vision and Depth Estimation
   • 3.2 Geometric Models for Stereo Matching
   • 3.3 Correspondence Problem in Stereo Imaging
   • 3.4 Standard Techniques for Depth Recovery (e.g., Epipolar Geometry, Semi-Global Matching)
   • 3.5 Challenges in Stereo Vision: Textureless Regions, Occlusions, and Specularities

4. BRDF Modeling for Stereo

   • 4.1 Introduction to BRDFs: Definition and Importance
   • 4.2 General BRDF Models and Their Components
   • 4.3 Reflectance and Lighting Conditions in Stereo Vision
   • 4.4 Challenges with Real-World BRDFs in Stereo Matching
   • 4.5 Analytical vs. Empirical BRDF Models

5. Example-Based Stereo Matching

   • 5.1 Overview of Example-Based Approaches
   • 5.2 Selection of Stereo Examples from Training Data
   • 5.3 How Examples Aid in Handling Complex BRDFs
   • 5.4 Features Used for Matching (Texture, Color, Normalized Reflectance)
   • 5.5 Exploiting Photometric and Geometric Cues in Example-Based Methods

6. Incorporating BRDFs in Example-Based Stereo

   • 6.1 Using BRDF Models to Improve Stereo Matching
   • 6.2 Example-Based Stereo with Specular Reflection Handling
   • 6.3 Joint Optimization of Depth and Reflectance
   • 6.4 BRDF-Aware Stereo Algorithms: Matching, Regularization, and Depth Recovery
   • 6.5 Practical Considerations in Applying BRDFs to Stereo Vision

7. Algorithm Implementation

   • 7.1 Preprocessing: Image Rectification and Calibration
   • 7.2 Example-Based Stereo Algorithm with BRDF Modeling
   • 7.3 Efficient Matching Cost Computation for Stereo Pairs
   • 7.4 Optimization Framework for Depth and Reflectance Estimation
   • 7.5 Handling Occlusions and Disparities in Example-Based Stereo

8. Experimental Setup and Evaluation

   • 8.1 Datasets and Test Cases for Stereo Evaluation
   • 8.2 Performance Metrics: Depth Accuracy, Reflectance Estimation Quality
   • 8.3 Comparison with Conventional Stereo Matching Techniques
   • 8.4 Evaluating BRDF Models in Stereo Scenarios
   • 8.5 Results from Real-World and Synthetic Experiments

9. Results and Discussion

   • 9.1 Visual Results: Stereo Reconstruction with General BRDFs
   • 9.2 Impact of Example-Based Methods on Depth Accuracy
   • 9.3 Handling Complex Reflectance and Specularities in Stereo
   • 9.4 Comparison of Stereo Results: Example-Based vs. Traditional Techniques
   • 9.5 Analysis of Errors and Limitations in BRDF Handling

10. Applications

• 10.1 3D Object Reconstruction and Scene Understanding
• 10.2 Augmented Reality (AR) and Virtual Reality (VR) Applications
• 10.3 Robotics: Object Detection and Grasping
• 10.4 Industrial Applications: Surface Inspection and Quality Control
• 10.5 Medical Imaging and Surface Reconstruction from Stereo

11. Challenges and Future Directions

• 11.1 Scalability of Example-Based Stereo Methods
• 11.2 Improving BRDF Handling for Dynamic and Complex Materials
• 11.3 Real-Time Stereo Processing with BRDF Models
• 11.4 Machine Learning for Adaptive Example Selection and BRDF Estimation
• 11.5 Future Research in Multi-View Stereo and Advanced Reflectance Modeling

12. Conclusion

• 12.1 Summary of Contributions and Key Findings
• 12.2 Practical Implications of Example-Based Stereo with BRDF Modeling
• 12.3 Closing Remarks and Future Work

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