Gradient Model 2D to Stereoscopic 3D Conversion
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Solution Overview
Problem
Current methods for converting 2D images to stereoscopic 3D images are labor-intensive, requiring advanced computer graphics skills and significant manual labor, especially when dealing with animated objects, as they necessitate recreating the entire 2D image in a virtual 3D environment with precise object movement and camera adjustments.
Innovation Solution
A method and system that apply gradient models to 2D images to generate stereoscopic effects by horizontally offsetting pixel values based on depth attributes, using computing devices to select and adjust geometric shape models with gray scale templates to create left and right eye images, allowing for stereoscopic viewing without the need for extensive 3D reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If virtual 3D environment reconstruction is used to create stereoscopic images, then the stereoscopic effect quality is improved, but the manual labor and technical expertise required increase significantly
Solution Approach 1:
The patent applies gradient models as simplified copies or representations of complex 3D scenes. Instead of fully reconstructing virtual 3D environments, the system uses gradient models that capture essential depth and lighting information, allowing stereoscopic effects to be generated through image processing rather than complete scene recreation
Solution Approach 2:
The system transforms 2D images into stereoscopic 3D by modifying pixel parameters based on gradient model data. Depth attributes from gradient models are used to adjust pixel positions and properties, converting flat 2D images into perceived 3D scenes through parameter transformation rather than geometric reconstruction
2Manufacturing precision
If virtual 3D environment reconstruction is used to create stereoscopic images, then the stereoscopic effect quality is improved, but the technical expertise required increases
Solution Approach 1:
Gradient models serve as intermediary representations between 2D images and stereoscopic output. These models act as mediators that encode depth and lighting information in a simplified format, allowing automated processing without requiring expert knowledge of 3D computer graphics or virtual environment construction
Solution Approach 2:
The patent replaces the mechanical process of manual 3D scene construction with automated image processing algorithms. Gradient-based computational methods substitute for manual modeling techniques, enabling non-experts to generate stereoscopic images through automated processing rather than manual 3D reconstruction
3Ease of manufacture
If gradient models are applied to 2D images, then the manual labor required is reduced, but the complexity of the processing algorithm increases
Solution Approach 1:
The processing system segments the image into regions based on gradient characteristics. By dividing the image processing task into discrete gradient-based segments, the algorithm manages complexity through modular processing while maintaining automation and reducing manual intervention
Data Source
AI summary
A method for creating multiple viewpoint images for an image frame. The method includes receiving by a processing element a left eye image and a right eye image, wherein the left eye image and right eye image comprise a stereoscopic image pair. Once the images are received, the method includes determining by the processing element a first viewing location corresponding to the left eye image and a second viewing location corresponding to the right eye image and determining by the processing element a plurality of new viewpoint locations using the first viewing location and the second viewpoint location.