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High Contrast Color Stripe Pattern for Rapid Structured Light Range Imaging 1st editon by Changsoo Je, Sang Wook Lee, Rae Hong Park ISBN 3540219842 9783540219842
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Authors:Changsoo Je, Sang Wook Lee; Rae-Hong Park , Tags:Computer Vision – ECCV 2004 , Author sort:Changsoo Je, Sang Wook Lee & Park, Rae-Hong , Languages:Languages:eng , Published:Published:Mar 2004
High Contrast Color Stripe Pattern for Rapid Structured Light Range Imaging 1st editon by Changsoo Je, Sang Wook Lee, Rae Hong Park – Ebook PDF Instant Download/Delivery. 3540219842, 978-3540219842
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ISBN 10: 3540219842
ISBN 13: 978-3540219842
Author: Changsoo Je, Sang Wook Lee, Rae-Hong Park
For structured-light range imaging, colour stripes can be used for increasing the number of distinguishable light patterns compared to binary black-and-white stripes. Therefore, an appropriate use of colour patterns can reduce the number of required light projections for imaging an object scene, and range imaging can be achievable in a single video frame or in “one-shot”. On the other hand, the reliability and range resolution attainable from colour stripes are generally lower than those from temporally encoded binary black-and-white patterns since colour contrast is affected by object colour reflectance and ambient light. This paper presents new methods for selecting stripe colours and designing multiple-stripe patterns for “one-shot” and “two-shot” imaging. We show that maximizing colour contrast between the stripes in one-shot imaging reduces the ambiguities resulting from coloured object surfaces and limitations in sensor/projector resolution. Moreover, a cross-stripe gradient method is presented to improve estimation of illumination patterns in one-shot imaging. Two-shot imaging adds an extra video frame and maximizes the colour contrast between the first and second video frames to diminish the ambiguities even further. Experimental results and discussion demonstrate the effectiveness and robustness of the presented one-shot and two-shot colour-stripe imaging schemes.
High Contrast Color Stripe Pattern for Rapid Structured Light Range Imaging 1st Table of contents:
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Introduction
- 1.1 Background and Motivation
- 1.2 Importance of Structured Light Imaging in 3D Range Scanning
- 1.3 Challenges in Rapid and Accurate 3D Imaging
- 1.4 Role of High Contrast Color Stripe Patterns in Structured Light Imaging
- 1.5 Objectives of the Paper
- 1.6 Structure of the Paper
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Overview of Structured Light Imaging
- 2.1 Basic Principles of Structured Light for 3D Imaging
- 2.2 Traditional Approaches to Structured Light Patterning
- 2.3 Applications of Structured Light Imaging
- 2.4 Limitations of Existing Structured Light Techniques
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High Contrast Color Stripe Patterns
- 3.1 Definition and Characteristics of High Contrast Patterns
- 3.2 Advantages of High Contrast in Range Imaging
- 3.3 Color Stripe Patterns and Their Role in Improving Accuracy and Speed
- 3.4 Pattern Design: Color, Brightness, and Frequency Considerations
- 3.5 Reducing Errors from Low Contrast and Ambiguities
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Methodology for Pattern Generation and Projection
- 4.1 Design of High Contrast Color Stripe Patterns
- 4.2 Algorithms for Stripe Pattern Generation
- 4.3 Projection Techniques for Color Stripe Patterns
- 4.4 Calibration of the Structured Light System
- 4.5 Ensuring Uniformity and Precision in Pattern Projection
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3D Range Imaging and Surface Reconstruction
- 5.1 Process of Range Imaging Using Structured Light
- 5.2 3D Surface Reconstruction from Color Stripe Patterns
- 5.3 Depth Estimation Techniques and Error Analysis
- 5.4 Improving Speed and Resolution in Range Imaging
- 5.5 Handling Occlusions and Shadowing in Structured Light Systems
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Experimental Setup and Data Collection
- 6.1 Description of the Structured Light System
- 6.2 Setup for High Contrast Color Stripe Pattern Projection
- 6.3 Test Objects and Data Collection for Range Imaging
- 6.4 Calibration and Alignment of Projector and Camera
- 6.5 Evaluation Criteria for Performance and Accuracy
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Results and Evaluation
- 7.1 Evaluation of Range Imaging Accuracy Using High Contrast Patterns
- 7.2 Comparison with Traditional Structured Light Patterns
- 7.3 Quantitative Metrics: Depth Error, Resolution, and Speed
- 7.4 Qualitative Results: Visualizing 3D Reconstructions
- 7.5 Real-Time Performance and Practical Considerations
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Applications of High Contrast Color Stripe Pattern Imaging
- 8.1 Industrial Applications: 3D Scanning for Quality Control and Inspection
- 8.2 Medical Applications: Rapid 3D Imaging for Diagnosis and Treatment Planning
- 8.3 Robotics and Automation: Object Detection and Grasping
- 8.4 Cultural Heritage Preservation: 3D Digitization of Artifacts
- 8.5 Consumer Electronics: Use in 3D Cameras and Gaming Devices
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Challenges and Future Directions
- 9.1 Handling Complex Surface Geometry and Texture
- 9.2 Reducing Sensitivity to Environmental Conditions (Lighting, Reflections)
- 9.3 Real-Time Implementation and Computational Demands
- 9.4 Advancements in Pattern Generation and Projection Technologies
- 9.5 Potential Integration with Other 3D Imaging Techniques (e.g., LIDAR, Stereo Vision)
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Conclusion
- 10.1 Summary of Findings
- 10.2 Contributions to the Field of 3D Range Imaging
- 10.3 Practical Implications for Faster and More Accurate 3D Scanning
- 10.4 Future Research Opportunities
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