HMD Eyepiece Deformation Compensation via Real-Time Image Transformation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Head-mounted display systems, especially those used in virtual or augmented reality, are prone to deformation due to their lightweight and flexible design, leading to misalignment of displays, which causes distortions and discomfort for users as they perceive virtual content superimposed on real-world environments.
Innovation Solution
A calibration process that determines and applies image transformations for each eye display independently to correct for deformation, ensuring proper alignment and minimizing user discomfort by recalibrating in real-time, without requiring human input, and allowing for deformations in the hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Weight of moving object
If head-mounted display systems are made lighter and more flexible to facilitate transportation and comfort, then weight and flexibility are improved, but structural stability deteriorates causing display deformation and misalignment
Solution Approach 1:
The system dynamically adjusts image transformations in real-time based on detected display deformations. The calibration process is repeated as needed, triggered by deformation detection, eye blink, or periodically, allowing the system to adapt to changing structural conditions while maintaining proper binocular alignment
Solution Approach 2:
The system implements a feedback mechanism where the processor detects deformation of the wearable frame or displays, automatically recalibrates the image transformations, and applies corrections. This closed-loop feedback ensures continuous compensation for structural changes without user intervention
2Adaptability or versatility
If the wearable frame or displays deform, then adaptability to user movement is improved, but image alignment deteriorates causing binocular misalignment and double vision
Solution Approach 1:
The system changes image transformation parameters (scaling, rotation, translation) based on detected deformation states. The processor determines appropriate transformation parameters to compensate for frame or display deformation, maintaining proper binocular alignment despite physical changes in the wearable structure
Solution Approach 2:
The system performs preliminary calibration to establish baseline image transformations before normal operation. The calibration process determines initial transformations for left and right eye displays, which are then refined through ongoing deformation detection and correction
3Manufacturing precision
If calibration is performed frequently to maintain image alignment, then alignment accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs calibration periodically based on predetermined criteria such as time intervals, detected deformation thresholds, or user actions like eye blinks. This periodic approach maintains alignment accuracy while avoiding excessive processing during stable conditions
Solution Approach 2:
The system performs automatic calibration without requiring user input or intervention. The processor autonomously detects deformation, determines appropriate transformations, and applies corrections, eliminating the need for manual calibration procedures
Data Source
AI summary
The systems and methods described can include approaches to calibrate head-mounted displays for improved viewing experiences. Some methods include receiving data of a first target image associated with an undeformed state of a first eyepiece of a head-mounted display device; receiving data of a first captured image associated with deformed state of the first eyepiece of the head-mounted display device; determining a first transformation that maps the first captured image to the image; and applying the first transformation to a subsequent image for viewing on the first eyepiece of the head-mounted display device.