Stereo Image Processor Convergence Control for 3D Display
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Solution Overview
Problem
Existing 3D image processing technologies face challenges in controlling stereo convergence, leading to either inadequate 3D effects or eye fatigue due to improper alignment of left and right eye images, which affects user experience.
Innovation Solution
A method and apparatus for controlling stereo convergence by detecting objects in stereo images, grouping them based on setup specifications, and adjusting the position of the left and right eye images horizontally or vertically to match a target disparity distribution, thereby optimizing the 3D effect and reducing eye fatigue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the distance between left and right eye images is increased to enhance 3D effect, then the 3D effect is improved, but eye fatigue increases
Solution Approach 1:
The patent applies local quality by adjusting the disparity distribution specifically for different depth regions (foreground, midground, background) rather than uniformly across the entire image. By categorizing pixels into different depth regions and applying region-specific disparity adjustments, the system optimizes 3D effect for important objects while controlling overall disparity to prevent eye fatigue.
Solution Approach 2:
The patent changes the disparity parameter distribution across different depth regions to resolve the contradiction. By modifying the disparity values for foreground, midground, and background regions differently, the system enhances 3D effect where needed while maintaining comfortable viewing overall. The convergence adjustment dynamically changes disparity parameters based on detected important objects and their depth positions.
2Object-affected harmful factors
If the distance between left and right eye images is decreased to reduce eye fatigue, then eye fatigue is reduced, but the 3D effect becomes insufficient
Solution Approach 1:
The patent enables different parts of the image to have different disparity characteristics. Important objects in the foreground can have larger disparity for strong 3D effect, while background regions have smaller disparity for comfort. This local differentiation allows the system to provide strong 3D effect where needed without causing eye fatigue from excessive overall disparity.
Solution Approach 2:
The system performs preliminary detection of important objects and their depth positions before adjusting disparity. By identifying foreground, midground, and background regions in advance, the system can pre-calculate appropriate disparity values for each region, ensuring optimal 3D effect for important objects while maintaining comfortable viewing conditions.
3Manufacturing precision
If automatic convergence adjustment is implemented to optimize 3D effect, then 3D effect is improved, but processing complexity increases
Solution Approach 1:
The patent segments the image into different depth regions (foreground, midground, background) based on detected important objects. This segmentation allows the system to apply different disparity adjustments to different regions, optimizing 3D effect for important objects while simplifying processing by treating each region independently with region-specific parameters.
Solution Approach 2:
The patent introduces depth region classification as an intermediary step between object detection and disparity adjustment. This intermediary layer organizes pixels by depth position, making the subsequent disparity optimization more systematic and computationally efficient. The depth region labels serve as a mediator that guides the convergence adjustment process.
Data Source
AI summary
A method of controlling a stereo convergence and an image processor using the method are provided. The method includes: detecting objects from a stereo image; grouping the detected objects into at least one or more objects according to setup specification information; and moving at least one of left and right eye images of a stereo image of the grouping or a setup area including the grouping in a horizontal or vertical direction or in the horizontal and vertical directions.