3D Model Reconstruction from 2D Images for Adaptive Rendering
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Solution Overview
Problem
Existing methods for generating three-dimensional (3D) models of physical objects for online marketplaces face challenges in providing sufficient detail for user selection, as they often require specialized equipment and skilled labor, and are not scalable for large networks with diverse user devices and suppliers.
Innovation Solution
A network-based system that automatically generates 3D models from casual 2D images, optimizing their complexity based on user device capabilities, allowing for low latency and high-fidelity rendering in both standard and immersive graphical interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If specialized equipment and skilled labor are used to generate 3D models, then manufacturing precision and model quality are improved, but device complexity and production cost increase
Solution Approach 1:
The patent uses 2D images as copies or projections of the physical object to reconstruct the 3D model, eliminating the need for specialized 3D scanning equipment. The system processes readily available 2D photographs to generate accurate 3D representations, thereby reducing device complexity while maintaining manufacturing precision through computational algorithms
Solution Approach 2:
The patent replaces mechanical 3D scanning systems with a computational image processing system. Instead of using specialized hardware to capture 3D data directly, the system uses software algorithms to reconstruct 3D models from 2D images, substituting a complex mechanical system with a more accessible computational approach
2Loss of information
If high-detail 3D models are generated for all items, then information completeness is improved, but data storage requirements and processing time increase
Solution Approach 1:
The patent applies local quality by generating 3D models with varying levels of detail based on the specific requirements of different objects and user needs. The system can focus computational resources on capturing critical details of certain objects while using simplified representations for others, thereby reducing overall processing time while maintaining necessary information completeness
Solution Approach 2:
The patent utilizes parameter changes by adjusting the complexity and resolution of 3D models based on device capabilities, user preferences, and object importance. The system can dynamically modify model parameters such as polygon count, texture resolution, and geometric detail to balance information completeness with processing efficiency
3Manufacturing precision
If 3D models are optimized for high-fidelity rendering, then visual quality is improved, but computational resources and energy consumption increase
Solution Approach 1:
The patent applies dynamics by making the 3D model rendering adaptive to device capabilities and user context. The system dynamically adjusts rendering fidelity, model complexity, and graphical settings based on the device's computational resources, screen resolution, and user interaction patterns, allowing high visual quality on capable devices while conserving energy on resource-constrained devices
Solution Approach 2:
The patent achieves universality by creating a single 3D model representation that can be efficiently rendered across diverse devices with varying capabilities. The system generates models with optimized geometry and textures that maintain visual quality while adapting to different hardware constraints, eliminating the need for separate high-fidelity models for each device type
Data Source
AI summary
A system receives image data associated with an item, where the image data comprising a view of the item from two or more angles; determines physical attributes of the item; generates a base model of the item; samples the base model to generate one or more sampled models, each of the one or more sampled models comprising a subset of the geometric data, the subset of the geometric data determined based on one or more device characteristics of one or more user devices that interface with the system; receives device characteristics of a user device associated with a request from the user device for the item; selects, based on the received device characteristics, a sampled model of the item; and transmits a data object comprising the selected sampled model to the user device to cause the user device to generate a three-dimensional rendering of the item.