3D Product Reconstruction from User Images
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Solution Overview
Problem
Online systems face challenges in generating three-dimensional representations of products for presentation, as creating such renderings requires significant financial and resource-intensive efforts, preventing many publishing users from including them on product pages.
Innovation Solution
An online system leverages information from publishing users, including multiple product images, and content items from other users to train a machine learning identification model, comparing objects in content items to product images, and applies three-dimensional reconstruction processes to generate a three-dimensional representation of products, which is then stored and displayed on product pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional three-dimensional rendering methods are used to create product representations, then the quality and detail of product visualization is improved, but the financial resources and time required increase significantly
Solution Approach 1:
The patent creates three-dimensional representations by copying and reconstructing product geometry from multiple two-dimensional images captured at different angles. Instead of creating original 3D models through complex rendering processes, the system copies geometric information from existing 2D images and synthesizes 3D representations, dramatically reducing the time and resources required while maintaining visualization quality
Solution Approach 2:
The system performs preliminary actions by capturing multiple images of the product at different angles before the three-dimensional reconstruction process. These pre-captured images serve as the foundation for automated 3D model generation, eliminating the need for time-consuming manual 3D scanning or rendering during the actual product presentation phase
2Measurement precision
If professional three-dimensional rendering services are commissioned, then the accuracy and realism of product models are improved, but the cost and resource investment increase significantly
Solution Approach 1:
The system enables self-service by automatically generating three-dimensional product representations using machine learning algorithms and image processing techniques. The automated system performs the reconstruction task without requiring external professional rendering services, reducing costs while maintaining acceptable accuracy through algorithmic processing of captured images
Solution Approach 2:
The patent replaces manual mechanical processes (professional 3D scanning and modeling) with automated computational methods. Machine learning models and image processing algorithms substitute for human experts and expensive equipment, achieving comparable accuracy at fraction of the cost through software-based reconstruction
3Loss of information
If multiple images are captured from different angles to generate three-dimensional representations, then the completeness and accuracy of product data is improved, but the complexity of the process and resources required increase
Solution Approach 1:
The system achieves multi-functionality by using a single imaging setup to capture images that serve multiple purposes: individual product documentation, three-dimensional reconstruction input, and automated identification training data. This universal approach eliminates the need for separate specialized processes for each function, reducing overall system complexity while maintaining data completeness
Data Source
AI summary
A publishing user identifies a product offered by the user to an online system by providing multiple images of a product viewed at different angles to the online system. The online system applies an identification model to content items obtained from other users to identify the product. From images of the product from the publishing user and content items from other users having at least a threshold confidence of including the product, the online system generates a three-dimensional reconstruction of the product. The online system may subsequently use the three-dimensional reconstruction of the product to display the product to users or to allow other users to identify the product from the online system.