17980171. PERTURBATIVE ALIGNMENT CORRECTION FOR SURROUND CAMERAS simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
Contents
- 1 PERTURBATIVE ALIGNMENT CORRECTION FOR SURROUND CAMERAS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PERTURBATIVE ALIGNMENT CORRECTION FOR SURROUND CAMERAS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PERTURBATIVE ALIGNMENT CORRECTION FOR SURROUND CAMERAS
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Michael Slutsky of Kefar-Saba (IL)
Lior Stein of Ramat HaSharon (IL)
PERTURBATIVE ALIGNMENT CORRECTION FOR SURROUND CAMERAS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17980171 titled 'PERTURBATIVE ALIGNMENT CORRECTION FOR SURROUND CAMERAS
Simplified Explanation
The patent application describes a method and system for correcting alignment of images received from cameras by estimating camera alignment parameters based on perturbative correction to satisfy pairwise epipolar constraints and global loop closure constraints. The corrected alignment parameters are estimated using a Least-Mean-Square solution to a system of linear equations, with an estimation algorithm that may be implemented as part of a Random Sample Consensus criterion estimation for improved robustness. The method and system are fast, efficient, and suitable for implementation in real-time systems.
- Estimating camera alignment parameters based on perturbative correction
- Correcting alignment to satisfy pairwise epipolar constraints and global loop closure constraints
- Using a Least-Mean-Square solution to estimate corrected alignment parameters
- Implementing an estimation algorithm as part of a Random Sample Consensus criterion for improved robustness
- Fast and efficient method suitable for real-time systems
Potential Applications
The technology can be applied in various fields such as computer vision, robotics, autonomous vehicles, augmented reality, and image processing.
Problems Solved
The technology solves the problem of accurately aligning images from multiple cameras by estimating camera alignment parameters based on perturbative correction to satisfy constraints.
Benefits
The benefits of this technology include improved accuracy in image alignment, robustness in estimation, fast and efficient processing, and suitability for real-time applications.
Potential Commercial Applications
Potential commercial applications of this technology include surveillance systems, autonomous vehicles, augmented reality devices, medical imaging systems, and industrial automation.
Possible Prior Art
One possible prior art in this field is the use of bundle adjustment techniques for camera calibration and image alignment in computer vision and photogrammetry applications.
Unanswered Questions
How does this technology compare to existing image alignment methods in terms of accuracy and efficiency?
The article does not provide a direct comparison with existing image alignment methods in terms of accuracy and efficiency.
What are the limitations of this technology in real-world applications?
The article does not discuss the limitations of this technology in real-world applications.
Original Abstract Submitted
A method and system for correcting alignment of images received from cameras by estimating camera alignment parameters based on perturbative correction such that corrected alignment parameters satisfy pairwise epipolar constraints as well as global loop closure constraints. The corrected alignment parameters are estimated as a Least-Mean-Square solution to a system of linear equations and an estimation algorithm may be implemented as a part of a Random Sample Consensus criterion estimation for improved robustness. The method and system is fast and efficient and may be implemented in a real-time system.
