3D Textual Matrix for AR Context
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Solution Overview
Problem
Existing augmented reality systems are limited in their ability to facilitate simultaneous viewing and interaction of virtual elements with real-world elements and other virtual objects, restricting the interplay between them in a real-world context.
Innovation Solution
A system utilizing sensors and a processing unit in a computing device to create a three-dimensional textual matrix of real-world parameters, determining the context of virtual objects, and modeling them for accurate placement in an augmented reality environment, enabling interaction and interplay between real-world and virtual elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing systems include virtual objects in real-world images, then virtual objects can be displayed in the environment, but the systems are restricted to limited interaction and interplay between virtual and real elements
Solution Approach 1:
The patent replaces traditional 2D image-based AR systems with a 3D spatial understanding system that uses depth sensors and neural networks to create contextual awareness of the real environment. This substitution enables virtual objects to interact realistically with real-world elements by understanding spatial relationships, lighting conditions, and physical contexts, thereby improving both interaction capability and context accuracy.
Solution Approach 2:
The system transforms the parameter representation from simple 2D image coordinates to comprehensive 3D spatial parameters including depth, lighting conditions, surface properties, and environmental context. By changing these parameters and using them to inform virtual object placement and behavior, the system achieves more realistic interactions while maintaining accurate contextual representation.
2Adaptability or versatility
If more sensors and processing are used to create accurate three-dimensional contextual representation, then interaction between virtual and real elements improves, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional processing system where a single neural network performs multiple tasks: depth estimation, lighting analysis, surface property detection, and contextual understanding. By consolidating these functions into a unified AI model, the system achieves high contextual representation accuracy without proportionally increasing device complexity, as one processing unit handles multiple analytical responsibilities.
Solution Approach 2:
The system creates a simplified 3D textual matrix representation that copies only the essential contextual features of the real environment (lighting conditions, surface properties, spatial relationships) rather than replicating the entire physical environment. This selective copying reduces processing requirements and device complexity while maintaining sufficient accuracy for realistic virtual object interactions.
Data Source
AI summary
A system for creating a context for a virtual object is disclosed, comprising a processing unit, wherein the processing unit is configured to receive values of the one or more parameters from the input unit, create a three-dimensional textual matrix of sensor representation of a real environment world based on the one or more parameters, in real-time, wherein the processing unit create textual information that is reusable in the three-dimensional matrix, and create a context of a specific virtual object from one or more virtual objects with respect to the real-world environment based on the three-dimensional textual matrix, wherein the context of the specific virtual object is created based on the context of one or more other virtual objects.