VR Image Processing Device Movement Compensation
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Solution Overview
Problem
Virtual reality (VR) devices often distort images due to unintended user movement, which is reflected in the rendering process, leading to image distortion such as jittering.
Innovation Solution
A method and device that track user movement and generate movement information to compensate for pixel values by blending values of selected pixels from previous images with target pixels in VR devices, using a preset weight based on the timing and extent of movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the device tracks user movement and reflects it in real-time rendering, then the VR experience responsiveness is improved, but image distortion occurs due to unintended movement
Solution Approach 1:
The patent applies preliminary anti-action by predicting future user movement based on tracked movement patterns and pre-compensating pixel positions before rendering. This predictive compensation counteracts the harmful effects of unintended movement (like jitter) while preserving the intended responsive VR experience, resolving the contradiction between responsiveness and image quality
Solution Approach 2:
The system performs preliminary action by tracking and analyzing user movement in advance of the rendering process. Movement information is collected and processed beforehand to determine compensation parameters, allowing the system to prepare corrected pixel data before actual image rendering occurs, thus preventing distortion while maintaining responsiveness
2Manufacturing precision
If pixel values are compensated based on user movement, then image distortion is reduced, but processing complexity increases
Solution Approach 1:
The patent applies local quality by selectively compensating only those pixels that are affected by user movement, rather than uniformly processing the entire image. The system identifies specific regions requiring compensation based on movement vectors and applies corrections only to those areas, reducing overall processing complexity while maintaining image quality
Solution Approach 2:
The system changes parameters by dynamically adjusting pixel position and color values based on movement compensation calculations. By modifying these fundamental image parameters in response to tracked movement, the system achieves distortion reduction through mathematical transformation rather than complex physical adjustments, simplifying the processing requirements
Data Source
AI summary
Provided is a method, performed by a device, of processing an image, the method including tracking a movement of a user wearing the device and generating movement information of the user, the movement information being about a movement occurring between a previous time when a first image was rendered and a current time when a second image is rendered; selecting at least one pixel from among a plurality of pixels comprised in the first image, based on the generated movement information and a location of a target pixel comprised in the second image; and changing a value of the target pixel by blending a value of the selected at least one pixel with the value of the target pixel according to a preset weight.