Multi-Layer Model for Depth-Based Image Reprojection
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Solution Overview
Problem
Existing portable devices face challenges in generating computationally efficient three-dimensional projections of two-dimensional images to create the illusion of depth, particularly in conserving battery and processing resources while maintaining realistic parallax shift effects.
Innovation Solution
A method and system that utilize a multi-layer model to map pixels of image data to discrete layers based on depth values, allowing for perspective-based reprojections that simulate three-dimensional depth without requiring extensive computational resources or data from multiple vantage points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time reprojection of two-dimensional images is performed to create three-dimensional effects, then the appearance of depth and parallax shift effects is improved, but battery consumption and processing resource usage increase
Solution Approach 1:
The patent segments the scene into multiple discrete layers, each associated with a unique depth value. This segmentation allows the system to process and reproject only specific layers when generating three-dimensional effects, rather than processing the entire image, thereby reducing computational load and battery consumption while maintaining the appearance of depth.
Solution Approach 2:
The patent applies partial action by selectively occluding only certain pixels in specific layers based on viewing angle changes, rather than processing all pixels in the image. This partial processing approach achieves the three-dimensional effect with reduced computational resources and lower battery consumption.
2Reliability
If real-time reprojection of two-dimensional images is performed to create three-dimensional effects, then the appearance of depth and parallax shift effects is improved, but processing resource usage increases
Solution Approach 1:
The patent divides the image into multiple discrete layers with unique depth values, enabling selective processing of only those layers that contribute to the three-dimensional effect. This segmentation reduces the overall processing workload compared to processing the entire image, thereby improving productivity while maintaining depth appearance.
Solution Approach 2:
The patent introduces a depth dimension by organizing pixels into discrete layers with unique depth values. This dimensional organization allows for efficient processing by enabling the system to work with layered structures rather than a single two-dimensional image, reducing processing resource requirements while achieving three-dimensional effects.
3Productivity
If discrete layers with unique depth values are used to generate three-dimensional projections, then computational efficiency is improved, but the complexity of layer detection and mapping increases
Solution Approach 1:
The patent segments the scene into discrete layers with unique depth values, which simplifies the overall processing by breaking down the complex task of three-dimensional projection into manageable layer-specific operations. While layer detection adds initial complexity, the segmented structure improves computational efficiency during reprojection operations.
Solution Approach 2:
The patent performs preliminary layer detection and mapping operations to create a multi-layer model before actual reprojection occurs. This preliminary action organizes the data into discrete layers with unique depth values, which then enables efficient real-time reprojection operations without requiring complex processing during the actual three-dimensional effect generation.
Data Source
AI summary
A method includes receiving, from a camera, one or more frames of image data of a scene comprising a background and one or more three-dimensional objects, wherein each frame comprises a raster of pixels of image data; detecting layer information of the scene, wherein the layer information is associated with a depth-based distribution of the pixels in the one or more frames; and determining a multi-layer model for the scene, the multi-layer model comprising a plurality of discrete layers comprising first and second discrete layers, wherein each discrete layer is associated with a unique depth value relative to the camera. The method further includes mapping the pixels to the layers of the plurality of discrete layers; rendering the pixels as a first image of the scene as viewed from a first perspective; and rendering the pixels as a second image of the scene as viewed from a second perspective.