XR Display Calibration for IPD and Virtual-Real Alignment
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Solution Overview
Problem
XR systems face challenges in aligning virtual content precisely with the real-world environment due to variations in users' physical characteristics and device fit, leading to visual discomfort and reduced depth perception, particularly when adjusting for Inter-Pupillary Distance (IPD) and other display parameters.
Innovation Solution
An XR system implements a user-driven calibration process that allows real-time adjustment of display parameters, including IPD, by rendering virtual content aligned with real-world reference features and iteratively adjusting until satisfactory alignment is achieved, using pose tracking and user interface inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed display parameters are used in XR system, then device complexity is reduced, but alignment precision between virtual content and real-world environment deteriorates
Solution Approach 1:
The system implements dynamic adjustment of display parameters including IPD, vertical offset, horizontal offset, and asymmetry corrections. The calibration process allows users to modify these parameters in real-time to achieve proper alignment between virtual objects and real-world reference features, resolving the contradiction by making previously fixed parameters adjustable.
Solution Approach 2:
The patent applies parameter changes by systematically adjusting multiple display parameters (IPD, vertical offset, horizontal offset, asymmetry) based on user feedback during calibration. This allows the system to adapt to individual user characteristics and achieve precise alignment without requiring complex hardware modifications.
2Measurement precision
If custom calibration is performed for each user, then alignment precision is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary calibration setup by presenting reference features and guiding users through the calibration process before actual use. This preliminary action ensures that subsequent usage requires minimal adjustment, reducing time loss during actual XR operations.
Solution Approach 2:
The calibration process incorporates continuous feedback mechanisms where users observe alignment between virtual objects and real-world references, adjust parameters, and receive immediate visual feedback on the improvement of alignment. This iterative feedback loop accelerates the calibration process while maintaining high precision.
3Ease of operation
If multiple display parameters are adjusted, then user comfort is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables users to perform their own calibration by presenting reference features and allowing direct manipulation of virtual objects to achieve alignment. This self-service approach eliminates the need for complex setup procedures or expert intervention, improving ease of operation while maintaining high user comfort through personalized parameter adjustment.
Data Source
AI summary
An XR system is provided that calibrates display parameters. The XR system captures pose data of the XR system relative to a real-world environment using a pose tracking component. Video data of the real-world environment is captured using one or more cameras of the XR system. One or more reference features in the real-world environment are identified using the video data and pose data. The XR system causes display of one or more virtual objects aligned with the reference features using display parameters. A user interface is displayed to allow a user to adjust the display parameters and XR system receives adjustments to the display parameters from the user via the interface and updates the parameters accordingly. An updated pose of the XR system is captured using the pose tracking component and the virtual objects are then re-displayed using the updated display parameters and updated pose.