3D Image Convergence Matching for VR Keystone Correction
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Solution Overview
Problem
Conventional virtual reality head-mounted displays (VR HMDs) fail to effectively address visual fatigue caused by the keystone effect, leading to dizziness due to the distortion of images projected onto angled surfaces, which conventional technologies have not adequately resolved.
Innovation Solution
A personalized 3D image providing apparatus using a convergence matching algorithm that sets a fixed screen as a horopter region, calculates shift values based on the distance from a virtual stereo camera to a target object, and maintains convergence angles when the user's gaze shifts to objects with the same depth value, incorporating a blurring processor to correct perspective and focus within the content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a virtual reality head-mounted display projects images onto angled surfaces, then the user can view 3D content, but the keystone effect causes image distortion and visual fatigue
Solution Approach 1:
The patent applies preliminary anti-action by pre-calculating and applying reverse distortion to the image content before display. The system determines the keystone effect parameters based on the HMD's optical characteristics and viewing geometry, then applies compensatory transformation to the rendered images in advance, so that the distorted display surface produces a corrected final image, preventing visual fatigue before it occurs.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting image rendering parameters including focal length, object distance, and convergence angle based on the user's viewing conditions and the HMD's optical parameters. The system modifies these parameters to compensate for the keystone effect, transforming the image projection characteristics to match the angled display surface while maintaining correct geometric relationships.
2Object-affected harmful factors
If the convergence angle is adjusted to match the horopter region, then visual fatigue is reduced, but the system complexity increases due to additional calculations and processing
Solution Approach 1:
The patent applies preliminary action by pre-defining the horopter region and calculating optimal convergence angles based on the HMD's fixed optical parameters and typical viewing distances. The system establishes the convergence matching relationships in advance, so that during actual operation, the processor only needs to retrieve and apply pre-computed parameters rather than performing complex real-time calculations, significantly reducing processing complexity while maintaining visual fatigue reduction benefits.
3Manufacturing precision
If the image is corrected for perspective and focus, then the 3D display quality is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies local quality by selectively applying perspective and focus corrections only to specific regions of the image that require such adjustments, rather than processing the entire image uniformly. The system identifies the horopter region and applies precise corrections localized to this area, while other regions receive minimal or no processing, thereby maintaining high 3D display quality in critical areas while reducing overall computational burden and processing time.
Data Source
AI summary
Disclosed herein are a method and apparatus for providing a personalized three-dimensional (3D) image. The apparatus for providing a personalized three-dimensional image using convergence matching may include a fixed screen set as a horopter region, a calculation unit configured to calculate a shift value of an image projected onto the screen based on a distance from a virtual stereo camera to a target object, a convergence matching unit configured to match a convergence angle to the horopter region based on the shift value, and a controller configured to control the convergence matching unit to maintain the convergence angle when a user's gaze is shifted to a nearby object having the same depth value as the target object.