18466379. Methods for Infield Camera Calibrations simplified abstract (Apple Inc.)
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 How does this technology compare to existing camera calibration methods in terms of accuracy and efficiency?
- 1.11 What are the potential limitations or challenges in implementing this calibration process on different types of devices or camera systems?
- 1.12 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 18466379 titled 'Methods for Infield Camera Calibrations
Simplified Explanation
The patent application describes methods for calibrating outward-facing cameras on devices like head-mounted displays.
- Extrinsic parameters of the camera are estimated using inputs such as data from an inertial measurement unit and tracked points of interest in images captured by the camera.
- Extrinsic and intrinsic parameters are determined concurrently in an optimization problem to update parameter values for use by applications utilizing the camera.
- The calibration process can be extended to calibrate multiple cameras based on information from the inertial measurement unit local to each camera.
Potential Applications
The technology described in this patent application could be applied in various fields such as augmented reality, virtual reality, robotics, and computer vision.
Problems Solved
This technology solves the problem of accurately calibrating outward-facing cameras on devices like head-mounted displays, ensuring optimal performance and accuracy in applications utilizing the camera.
Benefits
The benefits of this technology include improved accuracy and performance of outward-facing cameras, enhanced user experience in applications like augmented reality and virtual reality, and increased efficiency in computer vision tasks.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of advanced head-mounted displays for virtual reality gaming, training simulations, and professional applications.
Possible Prior Art
One possible prior art related to this technology is the use of calibration methods for cameras in computer vision systems and robotics applications.
Unanswered Questions
How does this technology compare to existing camera calibration methods in terms of accuracy and efficiency?
This article does not provide a direct comparison with existing camera calibration methods, leaving the reader to wonder about the specific advantages of this technology over others.
What are the potential limitations or challenges in implementing this calibration process on different types of devices or camera systems?
The article does not address potential limitations or challenges that may arise when implementing this calibration process on various devices or camera systems, leaving room for further exploration of this aspect.
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.