Stitching and Reconstruction of Linear-Pushbroom Panoramic Images for Planar Scenes 1st edition by Chu-Song Chen, Yu-Ting Chen, Fay Huang – Ebook PDF Instant Download/Delivery. 3540219835, 978-3540219835
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ISBN 10: 3540219835
ISBN 13: 978-3540219835
Author: Chu-Song Chen, Yu-Ting Chen, Fay Huang
This paper proposes a method to integrate multiple linear-pushbroom panoramic images. The integration can be performed in real time. The technique is feasible on planar scene such as large-scale paintings or aerial/satellite images that are considered to be planar. The image integration consists of two steps: stitching and Euclidean reconstruction. For the image stitching, a minimum of five pairs of non-collinear image corresponding points are required in general cases. In some special configurations when there is column-to-column image correspondence between two panoramas, the number of image corresponding points required can be reduced to three. As for the Euclidean reconstruction, five pairs of non-collinear image corresponding points on the image boundaries are sufficient.
Stitching and Reconstruction of Linear-Pushbroom Panoramic Images for Planar Scenes 1st Table of contents:
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Introduction
- 1.1 Background and Motivation
- 1.2 Pushbroom Imaging and Its Applications
- 1.3 Challenges in Stitching Panoramic Images
- 1.4 Objectives and Contributions of the Paper
- 1.5 Structure of the Paper
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Related Work
- 2.1 Overview of Panoramic Image Stitching Techniques
- 2.2 Linear-Pushbroom Imaging and its Characteristics
- 2.3 Methods for Stitching Planar Scenes in Panoramic Images
- 2.4 Geometric Reconstruction of Planar Scenes
- 2.5 Limitations and Open Challenges in Existing Methods
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Mathematical and Geometric Foundations
- 3.1 Linear-Pushbroom Imaging Model
- 3.2 Geometrical Properties of Planar Scenes
- 3.3 Image Projections and Transformations in Pushbroom Imaging
- 3.4 Image Alignment and Homographies
- 3.5 Coordinate System and Calibration Considerations
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Stitching of Linear-Pushbroom Panoramic Images
- 4.1 Stitching Process Overview: From Image Acquisition to Final Panorama
- 4.2 Image Registration Techniques for Pushbroom Images
- 4.3 Geometric and Radiometric Alignments in Image Stitching
- 4.4 Handling Overlapping Regions and Parallax
- 4.5 Multi-View Registration for Planar Scenes
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Reconstruction of Planar Scenes
- 5.1 Reconstruction Models for Planar Scenes from Pushbroom Panoramic Images
- 5.2 Techniques for Depth Estimation and Scene Mapping
- 5.3 Geometric Calibration for Accurate Reconstruction
- 5.4 Challenges in Depth Consistency and Surface Estimation
- 5.5 Reconstruction Accuracy and Precision in Planar Scenes
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Algorithm Design and Implementation
- 6.1 Overview of the Proposed Stitching and Reconstruction Pipeline
- 6.2 Image Preprocessing and Feature Extraction
- 6.3 Optimization Techniques for Image Alignment
- 6.4 Reconstruction Algorithms for Planar Scenes
- 6.5 Computational Efficiency and Parallelization Considerations
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Experimental Setup and Evaluation
- 7.1 Datasets: Pushbroom Panoramic Images of Planar Scenes
- 7.2 Evaluation Metrics: Alignment Accuracy, Reconstruction Quality
- 7.3 Experimental Protocols and Comparison with Other Methods
- 7.4 Results from Synthetic and Real-World Data
- 7.5 Performance of the Stitching Algorithm in Different Scenarios
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Results and Discussion
- 8.1 Visual Examples of Stitched Panoramic Images
- 8.2 Quality of Reconstruction for Planar Scenes
- 8.3 Evaluation of Geometric and Radiometric Consistency
- 8.4 Discussion of Error Sources in Stitching and Reconstruction
- 8.5 Insights from the Experimental Results
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Applications of Stitching and Reconstruction
- 9.1 Applications in Aerial and Satellite Imaging
- 9.2 Urban Planning and Architecture Visualization
- 9.3 Robotics and Autonomous Navigation
- 9.4 Remote Sensing and Environmental Monitoring
- 9.5 Applications in Cultural Heritage and Archaeology
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Challenges and Future Directions
- 10.1 Robustness to Noise and Distortions in Pushbroom Images
- 10.2 Real-Time Stitching and Reconstruction for Large-Scale Scenes
- 10.3 Handling Non-Planar Scenes and Complex Geometries
- 10.4 Integration with Deep Learning for Improved Stitching
- 10.5 Future Research Directions in Panoramic Image Stitching and Reconstruction
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Conclusion
- 11.1 Summary of Key Contributions and Findings
- 11.2 Practical Implications of Pushbroom Stitching and Reconstruction
- 11.3 Limitations and Open Problems
- 11.4 Closing Remarks and Future Work
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