Volumetric AR Overlays From 2D Images for Context Adaptation
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Solution Overview
Problem
Existing augmented reality (AR) technologies struggle to create immersive experiences from existing images and videos, lacking the ability to dynamically adapt virtual content to real-world environments and user interactions.
Innovation Solution
A volumetric content presentation system that includes a client device with a transparent display and a server system, utilizing AI and IoT devices to segment and render AR content based on metadata, user location, and environmental conditions, enabling dynamic overlays and interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional AR technologies are used to create AR experiences, then basic virtual content overlay is achieved, but the ability to dynamically adapt virtual content to real-world environments and user interactions is lacking
Solution Approach 1:
The system segments AR content into multiple layers including base layer content and overlay layers with different adaptability characteristics. Each layer can be independently controlled for dynamic adaptation to environmental conditions, user location, and interactions, allowing selective enhancement of adaptability without requiring complete system redesign.
Solution Approach 2:
The patent introduces intermediary components including sensors, processors, and control systems that mediate between the physical environment and virtual content. These intermediaries capture environmental data, process it through algorithms, and dynamically adjust AR content parameters, enabling adaptation without direct complex coupling between environment and content.
2Ease of operation
If static AR content is displayed, then simple overlay is achieved, but user engagement and immersion are reduced
Solution Approach 1:
The patent transforms static AR content into dynamic content that responds to environmental conditions, user location, and interactions. Content parameters such as position, orientation, scale, and visibility are dynamically adjusted based on real-time sensor data and user behavior, significantly enhancing user engagement and immersion.
Solution Approach 2:
The system implements feedback loops where sensor data from the environment and user interactions continuously inform content adjustments. User responses to AR content are captured and used to refine subsequent content presentations, creating an adaptive experience that improves with user engagement rather than requiring excessive raw data processing.
3Measurement precision
If comprehensive environmental sensing is implemented, then contextually relevant AR overlays are achieved, but energy consumption and device complexity increase
Solution Approach 1:
The patent applies environmental sensing selectively to specific regions and parameters most relevant to the current AR context rather than uniformly sensing all environmental aspects. Sensors target specific locations and measurement types based on content requirements, achieving high measurement precision where needed while minimizing unnecessary energy consumption in other areas.
Solution Approach 2:
The system employs multi-functional sensors and processing components that serve multiple purposes. For example, sensors capture data used for both location tracking and environmental context analysis, and processing algorithms handle multiple types of spatial relationships and adaptations simultaneously, reducing overall energy consumption while maintaining comprehensive environmental awareness.
Data Source
AI summary
A two-dimensional element is identified from one or more two-dimensional images. A volumetric content item is generated based on the two-dimensional element identified from the one or more two-dimensional images. A display device presents the volumetric content item overlaid on a real-world environment that is within a field of view of a user of the display device.