Samsung electronics co., ltd. (20240355041). SURROUND VIEW SYSTEM simplified abstract
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SURROUND VIEW SYSTEM
Organization Name
Inventor(s)
SURROUND VIEW SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240355041 titled 'SURROUND VIEW SYSTEM
The abstract of this patent application describes a method, apparatus, non-transitory computer readable medium, and system for estimating extrinsic camera parameters of multiple cameras by detecting corners in a camera calibration arrangement and projecting an image of the corners onto an image plane of at least one of the cameras. The method involves tuning a location estimate for the detected corners based on pixels of the projected image and adjusting the extrinsic camera parameters of the cameras accordingly. Additionally, a virtual image is generated based on the pixels of the projected image mapped to a virtual image plane.
- Estimating extrinsic camera parameters of multiple cameras based on corner detection in a camera calibration arrangement
- Tuning a location estimate for detected corners using pixels of the projected image
- Adjusting extrinsic camera parameters based on the tuned location estimate
- Generating a virtual image based on the pixels of the projected image mapped to a virtual image plane
- Utilizing the projected image to refine the location estimate and improve accuracy
Potential Applications: - Camera calibration for computer vision applications - Augmented reality systems - Robotics for navigation and object recognition
Problems Solved: - Improving accuracy of extrinsic camera parameter estimation - Enhancing virtual image generation for various applications
Benefits: - Increased precision in camera calibration - Enhanced performance of computer vision systems - Improved accuracy in augmented reality applications
Commercial Applications: Title: Advanced Camera Calibration System for Computer Vision and Augmented Reality This technology can be used in industries such as: - Automotive for autonomous driving systems - Surveillance for security cameras - Entertainment for virtual reality experiences
Questions about the technology: 1. How does this method improve the accuracy of camera calibration compared to traditional techniques? This method utilizes corner detection and pixel tuning to refine location estimates, resulting in more precise extrinsic camera parameters.
2. What are the potential limitations of using this technology in real-time applications? Real-time applications may require significant computational resources to process the detected corners and adjust camera parameters accordingly.
Original Abstract Submitted
aspects of the method, apparatus, non-transitory computer readable medium, and system include estimating extrinsic camera parameters of a plurality of cameras based on detection of corners in a camera calibration arrangement by projecting an image of the detected corners onto an image plane of at least one of the plurality of cameras. the aspects further include incrementally tuning a location estimate for the detected corners based on pixels of the projected image, and adjusting the extrinsic camera parameters of the at least one of the plurality of cameras based on the tuned location estimate. the aspects further include generating a virtual image based on the pixels of the projected image mapped to a virtual image plane.
