Stereoscopic Image Depth Adjustment for Visual Comfort Control
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Solution Overview
Problem
Existing stereoscopic image display devices generate stereoscopic images with high visual comfort (VC) that can cause user fatigue, as they focus on depth estimation without considering individual user context and comfort levels.
Innovation Solution
A stereoscopic image display device that adjusts depth maps based on user-specific visual comfort estimation, using depth maps, feature information, and context information to generate corrected left and right-eye images, reducing VC through targeted depth manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If stereoscopic images are generated with high depth effect, then three-dimensional effect is enhanced, but visual comfort deteriorates causing user fatigue
Solution Approach 1:
The system dynamically adjusts depth parameters of stereoscopic images based on user-specific visual comfort characteristics. By changing depth-related parameters according to individual user profiles and real-time comfort assessment, the system optimizes the balance between three-dimensional effect and visual comfort, preventing user fatigue while maintaining immersive experience.
Solution Approach 2:
The system transitions from static depth generation to dynamic depth adjustment by continuously monitoring user comfort levels and adapting stereoscopic image parameters in real-time. This dynamic approach allows the three-dimensional effect to be optimized for each user individually, preventing visual fatigue while maintaining engagement.
2Device complexity
If stereoscopic images are generated along a designated reference line, then depth estimation is simplified, but visual comfort is ignored causing user fatigue
Solution Approach 1:
The system implements feedback loops that monitor user visual comfort responses and use this information to adjust depth estimation and stereoscopic image generation. User comfort data feeds back into the depth mapping process, allowing the system to refine depth parameters and reference line selection based on actual user experience rather than relying solely on algorithmic estimation.
Solution Approach 2:
The system performs preliminary assessment of user visual comfort characteristics before generating stereoscopic images. By pre-evaluating user-specific factors such as visual acuity, preferred depth ranges, and comfort thresholds, the system can proactively adjust depth parameters to prevent visual fatigue before it occurs, rather than reacting after discomfort is detected.
3Productivity
If existing devices generate stereoscopic images without considering individual user context, then processing is simpler, but user experience deteriorates due to visual fatigue
Solution Approach 1:
The system segments users into different categories or creates individual user profiles based on visual comfort characteristics. By dividing the user base into segments with similar comfort requirements, the system can apply optimized depth parameters for each segment, improving user experience while maintaining processing efficiency through standardized approaches for each group.
Solution Approach 2:
The system enables users to self-report visual comfort levels or automatically assess their own comfort characteristics, reducing the processing burden on the system. Users can provide feedback on their comfort levels, and the system uses this self-generated data to adjust stereoscopic image parameters, improving user experience without requiring complex external analysis.
Data Source
AI summary
A stereoscopic image display device includes: a display; at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the at least one processor to: obtain a depth map from a planar image; obtain feature information related to a first depth from the depth map; obtain context information of the planar image; calculate an estimated visual comfort (VC) of a user for viewing a first stereoscopic image, based on the depth map, the feature information, and the context information; generate a corrected depth map, based on the estimated VC and a target VC; generate a left-eye image by correcting the planar image, based on the corrected depth map; generate a right-eye image by warping the left-eye image; and output, to the display, the left-eye image and the right-eye image to display a second stereoscopic image.