3D Image Overlay Depth Adjustment via User-Defined Regions
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Solution Overview
Problem
Existing 3D display technologies struggle to effectively reduce the depth of high-detail features like subtitles and graphical user interface elements to a neutral display depth, leading to distracting optical crosstalk and ghosting, especially when these features are hardcoded in the 3D image signal.
Innovation Solution
A system and method that allows users to define a user-defined 2D region within the 3D image signal, enabling a depth reduction parameter to be applied to the 2D auxiliary signal, which adjusts signal values to reduce the depth of hardcoded overlays to a neutral display depth, thereby minimizing ghosting and depth fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic overlay detection is used to identify regions for depth reduction, then processing efficiency is improved, but detection precision deteriorates leading to incorrect depth assignment
Solution Approach 1:
The system allows the user to manually define the 2D region that requires depth reduction, eliminating the need for automatic overlay detection. The user interface enables direct selection of areas containing hardcoded overlays such as subtitles or GUI elements, ensuring precise region identification without relying on error-prone automated detection algorithms.
2Object-generated harmful factors
If depth reduction is applied to hardcoded overlays, then ghosting is reduced, but readability of high-detail features may deteriorate
Solution Approach 1:
The system applies depth reduction locally only to user-defined 2D regions containing hardcoded overlays, while preserving the original depth values in other regions. This selective approach reduces ghosting and optical crosstalk in specific areas without affecting the readability or visual quality of high-detail features in the rest of the image.
3Adaptability or versatility
If user-defined region functionality is added, then flexibility and control are improved, but device complexity increases
Solution Approach 1:
The system introduces a user interface as an intermediary between the user and the depth processing function. This interface allows users to define 2D regions through simple interactions without requiring complex configuration, while the underlying processing remains integrated with the existing depth estimation and adjustment pipeline, minimizing overall system complexity.
Data Source
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Figure 4a~4b
Figure 5a~5b
AI summary
A system is provided for processing a 3D image signal. The 3D image signal comprises a 2D image signal (fig.4a) and a 2D auxiliary signal (fig.4b), with the 2D auxiliary signal enabling 3D rendering of the 2D image signal on a 3D display. The system comprises a user interface subsystem (180) for enabling a user to establish a user- defined 2D region (182) in the 2D image signal; a region definer (140) for defining a 2D region (142) in the 2D auxiliary signal, the 2D region corresponding to a display region on a display plane of the 3D display when 3D rendering the 2D image signal; and a depth processor (160) for i) obtaining a depth reduction parameter, the depth reduction parameter representing a desired amount of depth reduction in the display region when 3D rendering the 2D image signal, and ii) deriving an adjustment value from the depth reduction parameter. Accordingly, a depth reduction in the display region can be established, namely by adjusting signal values of the 2D auxiliary signal within the 2D region based on the adjustment value. The system may be advantageously used to apply a depth reduction to hardcoded overlays in a 3D image signal.