Head-Mounted Device Motion-Based Color Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Head-mounted devices face challenges in presenting accurate passthrough video feeds due to inadequate color correction when light sources change, often resulting in incorrect or unstable color rendering, as existing methods either correct too slowly or too quickly.
Innovation Solution
The electronic device incorporates processing circuitry that performs color correction based on image, motion, and lighting information, adjusting color adaptation speed in response to detected motion and lighting conditions, using data from image and flicker detection sensors to optimize color correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If color correction is performed at a fixed frame rate, then processing stability is maintained, but color rendering accuracy deteriorates when light sources change
Solution Approach 1:
The system dynamically adjusts the color correction frame rate based on detected motion and lighting conditions. When motion is detected or lighting changes are identified, the frame rate increases to capture and correct color accurately. When conditions are stable, the frame rate decreases to maintain steady rendering. This dynamic adjustment resolves the contradiction between stability and adaptability.
Solution Approach 2:
The system changes the temporal parameter (frame rate) of color correction processing based on environmental conditions. By monitoring motion sensors and analyzing lighting conditions, the system adjusts the frequency of color correction operations, transitioning between fixed and variable frame rates to optimize both accuracy and adaptability.
2Adaptability or versatility
If color correction frame rate is increased, then responsiveness to lighting changes improves, but unwanted color rendering swings occur
Solution Approach 1:
The system employs dynamic frame rate adjustment that responds to actual environmental changes rather than operating at a constantly high rate. Motion detection and lighting analysis trigger increased frame rates only when necessary, while stable conditions result in reduced frame rates. This prevents oscillating color corrections while maintaining responsiveness to genuine changes.
Solution Approach 2:
The system uses feedback from motion sensors and lighting condition analysis to regulate color correction frequency. By continuously monitoring environmental parameters and adjusting processing rate accordingly, the system achieves responsive color correction without excessive adjustments that would cause rendering swings.
3Reliability
If color correction is performed frequently, then color accuracy during motion improves, but processing efficiency decreases
Solution Approach 1:
The system dynamically scales processing frequency based on motion detection and lighting condition analysis. During motion or lighting transitions, color correction operates at high frame rates to ensure accuracy. During stable periods, the frame rate reduces significantly, improving overall processing efficiency while maintaining color accuracy when needed.
Solution Approach 2:
The system changes the temporal parameter of processing based on environmental conditions. By adjusting the frame rate of color correction operations according to motion and lighting state, the system optimizes the balance between color accuracy during motion and overall processing efficiency.
Data Source
AI summary
A head-mounted device is provided that includes one or more image sensors configured to capture a video feed, one or more motion sensors configured to detect motion, and control circuitry configured to analyze a lighting condition of the captured video feed and to perform auto white balancing operations on the captured video feed. An update frequency or a color adaptation speed of the auto white balancing operations can be determined based on the lighting condition and the detected motion. The color adaptation speed of the auto white balancing operations can be adjusted only in response to detecting, using the one or more motion sensors, an amount of motion exceeding a threshold.