2D-to-3D Image Conversion Using Motion Vectors and View Synthesis
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Solution Overview
Problem
Current methods for converting two-dimensional content to three-dimensional content for televisions are not effective, leading to limited utility of 3D televisions due to the lack of available 3D content and high error rates, resulting in poor viewer experience and discomfort.
Innovation Solution
A method and system for converting two-dimensional images to three-dimensional representations by analyzing image sets to determine object views and motion vectors, predicting hidden object shapes and colors, and generating three-dimensional models using interpolation and vanishing point analysis, which can be processed in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional 2D to 3D conversion methods are used, then 3D content can be generated, but high error rates occur resulting in poor viewer experience and discomfort
Solution Approach 1:
The patent segments the 2D image processing into multiple independent modules: depth map generation, occlusion handling, motion vector analysis, and view synthesis. Each module processes specific aspects separately to minimize error propagation and improve overall conversion accuracy while reducing viewer discomfort.
Solution Approach 2:
The patent performs preliminary analysis of the 2D content to identify occluded regions, motion patterns, and depth cues before generating the 3D conversion. This preliminary action allows the system to pre-correct potential errors and plan the synthesis strategy, thereby improving reliability and reducing viewer discomfort.
2Adaptability or versatility
If 3D television systems are deployed, then viewing experience can be enhanced, but the lack of available 3D content limits the utility
Solution Approach 1:
The patent creates a universal 2D to 3D conversion system that can process any standard 2D video content regardless of source or format. The system uses general-purpose algorithms for depth estimation and view synthesis that work across diverse content types, making 3D televisions useful for all existing 2D content while maintaining acceptable quality.
Solution Approach 2:
The patent dynamically adjusts conversion parameters such as depth scale, parallax, and occlusion handling based on the characteristics of the input 2D content. This allows the system to optimize the 3D effect for different scene types while maintaining reliability and avoiding viewer discomfort.
3Productivity
If real-time processing is implemented, then arbitrary content can be converted, but computational complexity increases
Solution Approach 1:
The patent divides the computationally intensive 3D conversion process into segmented parallel operations that can be executed simultaneously on modern processors. Depth map generation, motion analysis, and view synthesis are performed as separate parallel tasks, enabling real-time processing without requiring overly complex monolithic systems.
Solution Approach 2:
The patent implements optimized algorithms that perform partial computations only where needed based on scene complexity. For simple scenes, the system uses simplified models; for complex scenes, it applies more sophisticated processing only to the necessary regions, achieving real-time performance with controlled system complexity.
Data Source
AI summary
The inventive method involves receiving as input a representation of an ordered set of two-dimensional images. The ordered set of two-dimensional images is analyzed to determine at least one first view of an object in at least two dimensions and at least one motion vector. The next step is analyzing the combination of the first view of the object in at least two dimensions, the motion vector, and the ordered set of two-dimensional images to determine at least a second view of the object; generating a three-dimensional representation of the ordered set of two-dimensional images on the basis of at least the first view of the object and the second view of the object. Finally, the method involves providing indicia of the three-dimensional representation as an output.