AR Lighting Effects via Pre-computed 3D Virtual Models
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Solution Overview
Problem
Existing augmented reality systems struggle to produce realistic visual lighting effects due to their reliance on strictly real-world sensor inputs, processing-intensive methods, and the need for custom virtual environments, which limits their effectiveness and efficiency.
Innovation Solution
The approach involves creating a 3D virtual model based on a real-world environment, combining real and virtual world parameters to determine light and shadow effects, and using storage techniques to enhance the authenticity of AR augmentations, allowing for realistic rendering of virtual content that interacts seamlessly with real-world lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time processing of real object geometries is used to create AR images, then lighting accuracy is improved, but processing time and computational resources increase significantly
Solution Approach 1:
The system pre-processes and stores 3D virtual models of real-world environments before AR rendering. By having the virtual model ready in advance with pre-computed geometric and lighting data, the system eliminates the need for real-time geometry processing during AR operations, thus maintaining lighting accuracy while dramatically reducing processing time.
Solution Approach 2:
The system creates a virtual copy (3D model) of the real-world environment that includes pre-computed lighting and geometric information. This virtual model serves as a reusable template that can be applied to multiple AR scenarios without requiring repeated real-time processing of the actual environment, thereby reducing computational overhead while preserving lighting fidelity.
2Measurement precision
If custom virtual environments are created for each use case, then lighting realism is improved, but device complexity and setup requirements increase
Solution Approach 1:
The system creates a universal 3D virtual model of the real-world environment that can be reused across multiple AR applications and scenarios. This single virtual model serves multiple functions by providing consistent lighting and geometric data for different virtual objects and use cases, eliminating the need to create custom virtual environments for each application while maintaining lighting realism.
Solution Approach 2:
The system merges the real-world environment data with virtual object data into a unified 3D virtual model. By combining the environmental geometry, lighting conditions, and spatial relationships into a single integrated model, the system achieves lighting realism without requiring separate custom virtual environments for each use case, thereby reducing overall system complexity.
3Manufacturing precision
If extensive processing of real object geometries is performed, then augmentation accuracy is improved, but processing intensity and energy consumption increase
Solution Approach 1:
The system performs extensive geometry processing in advance to create pre-computed 3D virtual models of the environment. By completing the computationally intensive geometry analysis, mesh generation, and lighting calculations before AR operations, the system achieves high augmentation accuracy while minimizing energy consumption during actual AR rendering operations.
Data Source
AI summary
Realistic augmented reality (AR) augmentations are produced in reliance on a 3D virtual model modeled after a real world environment. Light and shadow parameters for the augmentations are produced not only from real world parameters such as, for example, a real present position of the actual sun, but also from virtual world parameters which characterize the virtual model or virtual objects within the virtual model.