Pseudo 3D Image Generation from 2D Photos
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Solution Overview
Problem
Current methods for generating three-dimensional product presentations are inefficient, requiring extensive time, resources, and human input, and fail to provide a realistic feel and fit, especially when scaling up for large product counts.
Innovation Solution
A system and method using machine learning and image processing to generate real-time virtual pseudo 3D augmented reality images from 2D images, involving background elimination, feature identification, 3D model alignment, and interpolation to create seamless 360-degree views compatible with augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional 3D rendering methods are used to create product presentations, then three-dimensional visualization is achieved, but the process requires extensive time, resources, and human input
Solution Approach 1:
The patent creates pseudo-3D representations by copying and warping 2D images rather than generating true 3D models. The system captures 2D images from multiple angles and uses image processing to create the illusion of 3D depth, avoiding the time-consuming process of actual 3D scanning and modeling while still providing realistic product visualization
Solution Approach 2:
The patent replaces traditional mechanical 3D scanning and modeling processes with computational image processing techniques. Instead of physically scanning objects and constructing 3D models through mechanical means, the system uses software-based warping and blending of 2D images to achieve pseudo-3D effects, significantly reducing processing time and resource requirements
2Manufacturing precision
If multiple 2D images are captured and processed to create 3D rendering, then three-dimensional product presentation is achieved, but the process is not scalable for large product counts
Solution Approach 1:
The system uses 2D image copies and transformations to create pseudo-3D representations, which can be rapidly generated and processed. This copying approach allows for batch processing of large numbers of products without the computational burden of creating actual 3D models for each item, enabling scalability across large product catalogs
Solution Approach 2:
The patent transforms 2D images into pseudo-3D representations by changing geometric parameters through warping and perspective transformation. This parameter-based approach allows for efficient processing and scaling, as the same transformation algorithms can be applied uniformly across large numbers of products with minimal additional computational resources
3Manufacturing precision
If digitalized three dimensional rendering is created, then product visualization is improved, but it does not provide the real feel and fit of the model
Solution Approach 1:
The system creates pseudo-3D representations that closely copy the appearance of real objects by processing multiple 2D images. The warping and blending techniques preserve authentic surface details, textures, and lighting characteristics from the original images, providing a more realistic visual experience than traditional 3D rendering while maintaining the ability to scale efficiently
4Ease of operation
If frame interpolation is used to generate missing frames in pseudo 3D image sets, then smoother transition is achieved, but additional processing time is required
Solution Approach 1:
The system performs frame interpolation to generate missing intermediate frames between captured images, creating smoother transitions in the pseudo-3D rotation sequence. By pre-calculating these intermediate frames using image warping and blending techniques, the system achieves smooth visual transitions without requiring complex real-time rendering, balancing quality with processing efficiency
Data Source
AI summary
A method for generating virtual pseudo three dimensional 360 degree outputs from 2D images of an object 102 is provided. An image viewer plane of the object 102 in the 3D image to be rendered on a user device 108 is detected using an augmented reality technique. An image viewer plane is placed facing the user device 108 rendering ‘Image 0’ and movement coordinates of the user device 108 with respect to the image viewer plane is detected to calculate the virtual pseudo 3D image set to be displayed based on at least one angle of view by performing interpolation between two consecutive virtual pseudo 3D images. The image viewer plane is changed with respect to the movement of the user device 108 to change the virtual pseudo 3D image and the interpolated virtual pseudo 3D image on the plane and that image is displayed as an augmented reality object in real-time to the user device 108.