18534152. VERIFICATION OF A MULTI-CAMERA CALIBRATION simplified abstract (Google LLC)
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 18534152 titled 'VERIFICATION OF A MULTI-CAMERA CALIBRATION
Simplified Explanation
The patent application describes a method for calibrating two cameras by analyzing image data and calibration target information to detect errors in camera alignment.
- The method receives image data from two cameras.
- It determines the position of a calibration target using calibration information.
- The method measures errors in camera alignment based on the image data and calibration target position.
- If the errors exceed a threshold, it indicates that the cameras are out of calibration.
Key Features and Innovation
- Calibration method for aligning two cameras using calibration target information.
- Measurement of reprojection errors to assess camera alignment.
- Threshold detection to indicate when cameras are out of calibration.
Potential Applications
This technology can be used in various industries such as:
- Robotics for accurate positioning and navigation.
- Augmented reality for precise image overlay.
- Surveillance systems for improved monitoring capabilities.
Problems Solved
- Ensures accurate alignment of multiple cameras.
- Detects calibration errors efficiently.
- Improves the overall performance of camera systems.
Benefits
- Enhanced accuracy in image capture.
- Increased reliability in camera calibration.
- Cost-effective solution for maintaining camera alignment.
Commercial Applications
Title: "Camera Calibration Method for Enhanced Precision in Imaging Systems" This technology can be utilized in:
- Manufacturing for quality control inspections.
- Medical imaging for precise diagnostics.
- Automotive industry for advanced driver assistance systems.
Prior Art
There are existing methods for camera calibration using calibration targets and image analysis. Researchers in the field of computer vision and robotics have developed various techniques for camera alignment and calibration.
Frequently Updated Research
Ongoing research in the field of computer vision focuses on improving camera calibration algorithms and techniques. Stay updated on advancements in image processing and calibration methods for enhanced accuracy in camera systems.
Questions about Camera Calibration
How does camera calibration impact the accuracy of image analysis?
Camera calibration ensures that images captured by multiple cameras are accurately aligned, which is crucial for precise image analysis and measurements.
What are the potential challenges in implementing camera calibration in real-time applications?
Real-time camera calibration may face challenges such as processing speed, environmental changes affecting calibration targets, and maintaining alignment accuracy during dynamic scenes.
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.
