3D Video Disparity Adjustment for Eye Strain Reduction
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Solution Overview
Problem
Users experience eye strain when viewing 3D video data due to factors like proximity to the display, screen size, and video parameters, requiring manual adjustments or physical movement to alleviate discomfort.
Innovation Solution
A method and system that adjust the disparity between left and right eye sub-portions of 3D video data based on the user's distance and display unit dimensions to map the data within a comfortable perception range, reducing eye strain by dynamically calculating and remapping the disparity across spatial dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If 3D video data is displayed with high disparity to enhance depth perception, then the 3D effect is improved, but eye strain increases
Solution Approach 1:
The system dynamically changes the disparity parameter of 3D video data based on detected viewing conditions. The processor adjusts disparity values within a comfortable range determined by user distance and display dimensions, transforming fixed-disparity content into adaptive-disparity output that maintains 3D quality while preventing eye strain
Solution Approach 2:
The system implements feedback by detecting actual viewing conditions (user distance via sensors, display dimensions) and using this information to adjust disparity parameters in real-time. This closed-loop approach ensures the 3D effect remains optimized while continuously adapting to prevent harmful eye strain effects
2Adaptability or versatility
If the user moves closer to the display to view 3D video, then the immersion is improved, but eye strain increases
Solution Approach 1:
The system makes the disparity parameters dynamic rather than static. As the user moves closer to the display, sensors detect the reduced distance and the processor automatically adjusts disparity values to remain within comfortable perception ranges, allowing immersion to increase with proximity while preventing eye strain through real-time parameter adaptation
3Object-affected harmful factors
If manual adjustment of video parameters is required to reduce eye strain, then eye strain is reduced, but user convenience deteriorates
Solution Approach 1:
The system performs self-service by automatically detecting viewing conditions and adjusting disparity parameters without user intervention. The processor continuously monitors user distance and display dimensions, then autonomously optimizes the 3D video output to eliminate eye strain, freeing the user from manual adjustments and maintaining convenience
Data Source
AI summary
A method includes receiving, through a processor of a data processing device communicatively coupled to a memory, data related to a dimensional parameter of a display unit and/or a distance between a user and the display unit, and determining, through the processor, a comfortable range of perception of a sub-portion of three -dimensional (3D) video data on the display unit based on the dimensional parameter of the display unit and/or the distance between the user and the display unit. The method also includes adjusting, through the processor, a disparity between one or more sub -portion(s) of the 3D video data corresponding to perception of the sub-portion by a left eye of the user and one or more sub-portion(s) of the 3D video data corresponding to perception of the sub-portion by a right eye of the user such that the sub-portion is mapped within the determined comfortable range of perception.