Head-Mounted Display Eye Registration for Stable 3D Imaging
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Solution Overview
Problem
Existing VR, AR, and MR technologies face challenges in providing a comfortable, natural-feeling presentation of virtual image elements due to complex human visual perception, leading to issues like unstable imaging, eye strain, and improper registration of displays with users.
Innovation Solution
A head-mounted display system equipped with eye-tracking cameras and processing electronics determines the position of the user's eye relative to the display registration volume, providing feedback and adjusting fit through interchangeable components to ensure proper registration and mitigate display degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If head-mounted display systems present virtual image content with different wavefront divergence to simulate different depths, then the immersive experience is improved, but image instability and eye strain increase due to improper registration between display and user's eyes
Solution Approach 1:
The system uses eye-tracking cameras to continuously monitor the user's eye position and provides feedback to the processing electronics. The processing electronics adjust the virtual image content presentation based on the detected eye position, ensuring proper registration between the display and the user's eyes. This feedback loop maintains image stability while preserving depth perception capabilities.
Solution Approach 2:
The system dynamically adjusts the presentation of virtual image content based on real-time eye position data. By making the display adaptive to the user's eye movements and position, the system maintains proper registration throughout viewing, preventing image instability and eye strain while preserving the multi-depth virtual content experience.
2Device complexity
If the display registration volume is fixed, then the system structure is simplified, but image quality degrades when the user's eye position moves outside the registration volume
Solution Approach 1:
The system transforms the fixed registration volume into a dynamic one by continuously adjusting the virtual image content based on eye position. This allows the effective registration volume to expand and adapt to the user's eye movements, maintaining image quality without requiring a physically larger or more complex registration volume structure.
Solution Approach 2:
The system automatically detects and corrects registration issues by using eye-tracking data to adjust the virtual content presentation. This self-adjusting mechanism maintains image quality without requiring manual recalibration or complex mechanical adjustment mechanisms, keeping the system structure relatively simple.
3Manufacturing precision
If eye-tracking cameras and processing electronics are added to detect and correct registration, then image quality and comfort are improved, but device complexity increases
Solution Approach 1:
The eye-tracking cameras serve multiple functions: detecting eye position for registration correction, enabling foveated rendering to improve image quality, and providing data for adaptive focus adjustments. This multi-functionality justifies the added component complexity by delivering multiple benefits from a single subsystem.
Solution Approach 2:
The system replaces complex mechanical adjustment mechanisms with electronic processing and software-based registration correction. Instead of using movable parts to physically adjust the display to the user's eye position, the system uses eye-tracking data to computationally adjust the virtual content, achieving high registration accuracy through electronics and software rather than mechanics.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures high-quality image presentation by automatically correcting misalignments, reducing eye strain, and maintaining image clarity by adjusting the fit of the head-mounted display system.
Implementation Method 1
one or more eye-tracking cameras configured to image the user's eye, and processing electronics in communication with the display and the one or more eye-tracking cameras. The processing electronics are configured to determine a position of the eye based on images of the eye obtained with the one or more eye-tracking cameras
Data Source
AI summary
A display system may include a head-mounted display (HMD) for rendering a three-dimensional virtual object which appears to be located in an ambient environment of a user of the display. One or more eyes of the user may not be in desired positions, relative to the HMD, to receive, or register, image information outputted by the HMD and/or to view an external environment. For example, the HMD-to-eye alignment may vary for different users and/or may change over time (e.g., as the HMD is displaced). The display system may determine a relative position or alignment between the HMD and the user's eyes. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, may provide feedback on the quality of the fit to the user, and/or may take actions to reduce or minimize effects of any misalignment.