Google llc (20240193815). VERIFICATION OF A MULTI-CAMERA CALIBRATION simplified abstract
Contents
- 1 VERIFICATION OF A MULTI-CAMERA CALIBRATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VERIFICATION OF A MULTI-CAMERA CALIBRATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Camera Calibration
- 1.13 Original Abstract Submitted
VERIFICATION OF A MULTI-CAMERA CALIBRATION
Organization Name
Inventor(s)
Ali Osman Ulusoy of Seattle WA (US)
VERIFICATION OF A MULTI-CAMERA CALIBRATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193815 titled 'VERIFICATION OF A MULTI-CAMERA CALIBRATION
Simplified Explanation
The patent application describes a method that uses image data from two cameras to calibrate their positions. If the calibration errors exceed a threshold, the method indicates that the cameras are out of calibration.
- The method receives image data from two cameras.
- It determines the calibration target position using the image data and calibration target information.
- It measures the reprojection errors of each camera based on the calibration and image data.
- If the reprojection errors exceed a threshold, it indicates that the cameras are out of calibration.
Key Features and Innovation
- Use of image data from two cameras for calibration.
- Measurement of reprojection errors to determine calibration accuracy.
- Threshold-based indication of calibration status.
Potential Applications
This technology can be used in:
- Robotics for accurate positioning.
- Augmented reality for precise alignment.
- Autonomous vehicles for improved navigation.
Problems Solved
- Ensures accurate calibration of camera positions.
- Provides a reliable indication of calibration status.
- Helps maintain the accuracy of camera systems.
Benefits
- Improved accuracy in camera calibration.
- Enhanced performance of systems relying on camera data.
- Cost-effective maintenance of camera setups.
Commercial Applications
- "Camera Calibration Method for Robotics and Augmented Reality Applications"
- This technology can be utilized in industries such as robotics, augmented reality, and autonomous vehicles for precise positioning and navigation.
Prior Art
There may be prior art related to camera calibration methods using multiple cameras and reprojection error measurements. Researchers can explore academic journals and patent databases for relevant information.
Frequently Updated Research
Researchers are continually exploring new methods for camera calibration and accuracy assessment. Stay updated on advancements in computer vision and image processing technologies for the latest developments in this field.
Questions about Camera Calibration
How does camera calibration impact the accuracy of robotic systems?
Camera calibration ensures precise positioning in robotic systems, improving their overall accuracy and performance.
What are the potential challenges in implementing camera calibration methods in real-time applications?
Real-time camera calibration may face challenges related to computational complexity and processing speed, which need to be addressed for seamless integration into applications.
Original Abstract Submitted
a method may receive first image data from a first camera and second image data from a second camera. a method may determine a calibration target position based on an extrinsic calibration, the first image data, the second image data, and calibration target information. a method may measure a first reprojection error of the first camera based on the extrinsic calibration, the calibration target position, and the first image data. a method may measure a second reprojection error of the second camera based on the extrinsic calibration, the calibration target position, and the second image data. upon determining that any combination of the first reprojection error is greater than a threshold reprojection error or the second reprojection error is greater than the threshold reprojection error, the method may provide an indication that the first camera and the second camera are out of calibration.
