Pseudo 3D Image Generation via Composite Depth Model Blending
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Solution Overview
Problem
Conventional pseudo 3D image generation devices automatically calculate composite percentages for basic depth models, leading to unnatural pseudo 3D images due to lack of scene-specific adjustments, making it difficult for users to achieve natural depth effects.
Innovation Solution
A pseudo 3D image generation device that includes basic depth model generation units, a combination unit for generating composite depth models based on control signals, a depth estimation data generation unit, and a texture shift unit, allowing for scene-specific adjustments through control signals for composite percentages, weighting coefficients, and depth adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic processing method is used to calculate composite percentages of basic depth models, then processing efficiency is improved, but depth information accuracy deteriorates due to lack of scene-specific adjustments
Solution Approach 1:
The patent segments the depth information generation process into multiple basic depth models (first, second, and third basic depth models with different depth characteristics). Each model can be independently adjusted through control signals, allowing scene-specific optimization while maintaining efficient automatic processing through the combination unit that blends these segmented models based on calculated composite percentages.
Solution Approach 2:
The patent introduces dynamic adjustability by enabling control signals to modify the composite percentages of basic depth models in real-time based on scene characteristics. The combination unit dynamically calculates and applies different weighting factors for each basic depth model, transforming a static automatic processing system into a dynamic one that adapts to varying scene requirements.
2Measurement precision
If control signals for scene-specific adjustments are added, then depth information accuracy is improved, but device complexity increases
Solution Approach 1:
The combination unit serves multiple functions: it automatically calculates composite percentages, processes control signals for scene-specific adjustments, blends multiple basic depth models, and generates final depth information. This multi-functional design improves depth accuracy through scene-specific control while avoiding the need for separate dedicated components for each function, thereby limiting the increase in device complexity.
Solution Approach 2:
The control signal acts as an intermediary that carries scene-specific adjustment information from external sources to the combination unit. This intermediary mechanism enables precise control over depth model composition without requiring direct modification of the core processing architecture, thus improving accuracy while maintaining relatively simple system structure.
Data Source
AI summary
A pseudo 3D image generation device includes frame memories that store a plurality of basic depth models used for estimating depth data based on a non-3D image signal and generating a pseudo 3D image signal; a depth model combination unit that combines the plurality of basic depth models for generating a composite depth model based on a control signal indicating composite percentages for combining the plurality of basic depth models; an addition unit that generates depth estimation data from the non-3D image signal and the composite depth models; and a texture shift unit that shifts the texture of the non-3D image for generating the pseudo 3D image signal.


