18136211. Video See-Through Augmented Reality simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
Video See-Through Augmented Reality
Organization Name
Inventor(s)
Yingen Xiong of Mountain View CA (US)
Video See-Through Augmented Reality - A simplified explanation of the abstract
This abstract first appeared for US patent application 18136211 titled 'Video See-Through Augmented Reality
Simplified Explanation
The abstract describes a method for calibrating a video see-through augmented reality (AR) system. The method involves capturing a calibration pattern displayed on the system's display using a calibration camera positioned at an eye position. Based on the captured pattern, the method determines system parameters that represent combined distortion caused by the display lens and the camera lens. It also determines display-lens parameters that represent distortion caused by the display lens, based on the system parameters and camera parameters. The system parameters and display-lens parameters are stored as a calibration for the system.
- The method calibrates a video see-through AR system by capturing a calibration pattern displayed on the system's display.
- The calibration camera is positioned at an eye position for viewing content on the system.
- The method determines system parameters that represent combined distortion caused by the display lens and the camera lens.
- It also determines display-lens parameters that represent distortion caused by the display lens, based on the system parameters and camera parameters.
- The system parameters and display-lens parameters are stored as a calibration for the system.
Potential applications of this technology:
- Augmented reality systems: The calibration method can be used in video see-through AR systems to improve the accuracy and quality of the augmented reality experience.
- Gaming: The calibration can enhance the immersion and realism of augmented reality games by reducing distortion and improving alignment between virtual and real-world objects.
- Industrial training: Video see-through AR systems can be used for training purposes in industries such as manufacturing, where accurate spatial alignment is crucial. The calibration method ensures precise overlay of virtual instructions or information on real-world objects.
Problems solved by this technology:
- Distortion correction: The method addresses the distortion caused by the display lens and the camera lens in video see-through AR systems. By accurately determining and compensating for this distortion, the method improves the visual quality and alignment of virtual content with the real world.
- Calibration accuracy: The method provides a precise calibration for video see-through AR systems, ensuring that virtual objects are correctly positioned and aligned with the user's view. This solves the problem of misalignment and inaccuracies that can occur without proper calibration.
Benefits of this technology:
- Improved user experience: By calibrating the video see-through AR system, the method enhances the user's immersion and perception of augmented reality content, leading to a more engaging and realistic experience.
- Accurate spatial alignment: The calibration ensures that virtual objects are correctly positioned and aligned with the real-world environment, enabling more precise interactions and applications in various fields such as gaming, training, and visualization.
- Enhanced visual quality: By compensating for distortion caused by the display lens and the camera lens, the method improves the visual clarity and fidelity of virtual content in video see-through AR systems.
Original Abstract Submitted
In one embodiment, a method includes capturing, by a calibration camera, a calibration pattern displayed on a display of a video see-through AR system, where the calibration camera is located at an eye position for viewing content on the video see-through AR system. The method further includes determining, based on the captured calibration pattern, one or more system parameters of the video see-through AR system that represent combined distortion caused by a display lens of the video see-through AR system and caused by a camera lens of the see-through camera; determining, based on the one or more system parameters and on one or more camera parameters that represent distortion caused by the see-through camera, one or more display-lens parameters that represent distortion caused by the display lens; and storing the one or more system parameters and the one more display-lens parameters as a calibration for the system.
