Product Visualization in Physical Scenes Without High-Resolution 3D Models
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Solution Overview
Problem
Conventional techniques for visualizing products in physical scenes fail to provide accurate representations due to low-resolution product models and inadequate capture of lighting effects, requiring increased computational resources for higher-resolution models, leading to undesirable delays and poor user experience.
Innovation Solution
Generate a high-quality, photorealistic two-dimensional image of the product within the physical scene using user-generated information, allowing for more accurate representation of product characteristics and lighting effects while reducing computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution product models are used to improve visualization accuracy, then manufacturing precision is improved, but device complexity and computational resources increase
Solution Approach 1:
The patent uses photorealistic image copying technology to capture actual product images with accurate lighting and texture information, replacing the need for complex high-resolution 3D models. The system copies visual characteristics from reference images and applies them to product visualizations, achieving high fidelity with reduced computational requirements.
Solution Approach 2:
The system changes the approach from modeling all visual parameters in 3D space to capturing key visual parameters (lighting, texture, color) through image processing. By transitioning from geometric modeling to photorealistic parameter extraction, the system achieves high visualization quality with fewer computational resources.
2Manufacturing precision
If high-resolution product models are used to improve visualization accuracy, then manufacturing precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by capturing and storing photorealistic reference images of products beforehand, including lighting conditions and texture information. These pre-captured images are then rapidly processed and applied to visualizations, eliminating the need for real-time high-resolution 3D rendering and significantly reducing processing time.
Solution Approach 2:
By copying visual information from pre-captured reference images rather than generating it through complex real-time rendering, the system achieves rapid visualization with high fidelity. The copying process leverages existing photorealistic data, avoiding computationally intensive real-time model generation.
3Device complexity
If conventional 3D models are used for product visualization, then device complexity is reduced, but measurement precision of lighting effects deteriorates
Solution Approach 1:
The system copies actual lighting conditions and effects from reference images captured in the physical environment. By replicating real lighting parameters (direction, intensity, color temperature) from captured images, the system achieves accurate lighting representation without requiring complex physical lighting simulations.
Solution Approach 2:
The patent replaces mechanical/optical lighting simulation systems with image-based lighting extraction. Instead of using complex ray-tracing or radiosity calculations to simulate lighting, the system substitutes these mechanical computation methods with photorealistic image analysis, achieving accurate lighting effects with simpler processing.
Data Source
AI summary
Described herein is a method for generating a two-dimensional (2D) image of one or more products within a physical scene is provided. The method comprises: obtaining, via a communication network from another computing device, an image of the physical scene; obtaining, via the communication network from the other computing device, position information indicative of a target position of a first product in the physical scene; rendering a 2D image of a second product in the physical scene using the image of the physical scene, the position information, and a 3D model of the second product; and providing, via the communication network to the other computing device, the rendered 2D image of the second product in the physical scene for display by the other computing device.