Apple inc. (20240095958). Methods for Infield Camera Calibrations simplified abstract
Contents
- 1 Methods for Infield Camera Calibrations
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Methods for Infield Camera Calibrations - 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
Methods for Infield Camera Calibrations
Organization Name
Inventor(s)
Shuntaro Yamazaki of Cupertino CA (US)
Ravi Teja Sukhavasi of Fremont CA (US)
Oleg Naroditsky of San Francisco CA (US)
Stergios Roumeliotis of Los Altos Hills CA (US)
Daniel C Byrnes of San Francisco CA (US)
Methods for Infield Camera Calibrations - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095958 titled 'Methods for Infield Camera Calibrations
Simplified Explanation
The patent application describes methods for calibrating outward-facing cameras on devices like head-mounted display devices. The process involves estimating extrinsic parameters of the camera using inputs such as data from an inertial measurement unit and tracking points of interest in images captured by the camera. Extrinsic and intrinsic parameters are then determined concurrently in an optimization problem to update the values of these parameters for use by applications that utilize the camera. The calibration process can also be extended to calibrate multiple cameras simultaneously based on information from the inertial measurement unit.
- Estimating extrinsic parameters of outward-facing cameras using inputs from an inertial measurement unit and tracked points of interest in captured images.
- Concurrently determining extrinsic and intrinsic parameters in an optimization problem to update values for use by applications.
- Extending the calibration process to calibrate multiple cameras simultaneously based on data from the inertial measurement unit.
Potential Applications
The technology can be applied in various fields such as virtual reality, augmented reality, robotics, and computer vision for accurate calibration of cameras in devices like head-mounted displays.
Problems Solved
1. Ensuring accurate calibration of outward-facing cameras on devices. 2. Simultaneously calibrating multiple cameras for improved performance and accuracy.
Benefits
1. Enhanced performance and accuracy of cameras on devices. 2. Improved tracking and image processing capabilities. 3. Seamless integration with applications that rely on camera data.
Potential Commercial Applications
Optimized camera calibration technology can be utilized in industries such as gaming, healthcare, security, and automotive for enhanced user experiences and improved functionality.
Possible Prior Art
Prior art in camera calibration methods for devices like head-mounted displays may include research papers, patents, or existing technologies that address similar challenges in camera calibration and optimization.
Unanswered Questions
How does this technology compare to existing camera calibration methods?
The article does not provide a direct comparison with existing camera calibration methods, leaving the reader to wonder about the specific advantages or improvements offered by this new approach.
What specific applications or industries could benefit the most from this technology?
While the article mentions potential applications in virtual reality, augmented reality, and robotics, it does not delve into specific industries or use cases that could benefit the most from this technology.
Original Abstract Submitted
methods for performing a calibration process for outward-facing cameras on devices such as head-mounted display devices are disclosed. extrinsic parameters of the camera are first estimated using inputs to the calibration process such as information from an inertial measurement unit and points of interest within images captured by the camera that are tracked with time. then, extrinsic and intrinsic parameters are concurrently determined in an optimization problem such that updated values of said parameters may be stored and used by applications that run on the device and make use of the camera. the calibration process may be extended to concurrently calibrate multiple cameras based, at least in part, on information from the inertial measurement unit that is local to the camera.
