VR Scene Model Synchronization with Real-World Sensor Data
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Solution Overview
Problem
Current virtual reality (VR) technologies face challenges in creating immersive and dynamic scenes that can be synchronized with real-world data, limiting the variety of functionalities and interactions within VR environments.
Innovation Solution
A system comprising sensors, a computer-readable medium, and VR playback devices that capture and integrate real-world data to create synchronized scene models, allowing for real-time augmentation and filtering of VR scenes, enabling immersive and interactive experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real-world data is integrated to create synchronized scene models, then the immersiveness and interactivity of VR scenes are improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the VR scene creation process into distinct modules: sensor data acquisition, real-world data capture, scene model generation, and VR scene rendering. Each module handles specific data types and processing tasks independently, allowing the system to manage complexity through functional decomposition while maintaining high immersiveness through integrated output.
Solution Approach 2:
The patent introduces intermediate processing layers including scene model generation and data synchronization mechanisms that mediate between raw sensor data and final VR rendering. These intermediaries transform and harmonize multiple data sources (sensor data, real-world data) into unified scene models, reducing the complexity burden on individual components while enabling rich immersive experiences.
2Adaptability or versatility
If multiple sensors and data sources are integrated, then the functionality and variety of VR interactions are enhanced, but the difficulty of detecting and measuring real-world data increases
Solution Approach 1:
The system employs universal data processing frameworks and standardized interfaces that can handle multiple sensor types and data sources through common protocols. This multi-functionality approach allows the system to integrate diverse sensors (cameras, microphones, motion sensors) and data sources without requiring separate processing pipelines for each, thereby enhancing interaction variety while managing detection complexity through unified methods.
3Productivity
If real-time synchronization of VR scenes with real-world data is implemented, then the dynamic nature and user experience are improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of sensor data and real-world data during periods when updates are not critical, pre-computing scene models and organizing data structures in advance. This preliminary action reduces the computational burden during real-time synchronization, enabling fast updates without excessive processing delays and maintaining both real-time capability and acceptable processing times.
Solution Approach 2:
The patent implements periodic synchronization cycles where VR scenes are updated at optimized intervals rather than continuously. This periodic action balances real-time responsiveness with processing efficiency by synchronizing data at rates that maintain user immersion while avoiding unnecessary computational overhead, thereby reducing processing time losses while preserving dynamic experience.
Data Source
AI summary
Operations carried out according to a method and operations carried out by a system including at least one processor and memory configured to store instructions include following operations. Those operations include: obtaining real world image data using one or more image data capturing devices positioned at a real world site; obtaining real world non-image data using one or more sensors positioned at the real world site; creating a scene model based on the obtained real world image data; integrating the obtained real world non-image data with the created scene model; carrying out an object recognition process to identify one or more objects included in the scene model; and rendering the scene model to create a VR scene in which one or more users are immersed using one or more VR playback devices.


