Real-Time VR Environment Integration via Concave Grid Templates
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Solution Overview
Problem
Conventional systems lack the capability to integrate real-time environment instances into virtual reality live streams, necessitating a solution for processing and embedding real-time data into virtual environments in real-time.
Innovation Solution
A system comprising processing devices, memory devices with computer-readable code, and capturing devices (such as 360-degree cameras) that capture real-time environment instances, process them by embossing views onto concave grids, creating neutral templates, and embedding user-preferred objects to generate preferred environment templates for instantaneous integration into virtual reality live streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real-time environment instances are integrated into virtual reality live streams, then the user experience is enhanced with dynamic and personalized virtual environments, but the system complexity increases due to real-time processing requirements
Solution Approach 1:
The system pre-processes environment instances by capturing real-time environment data, embossing front and side views onto concave grids, creating neutral environment templates, and storing preferential objects in object templates before they are needed. This preliminary preparation enables instantaneous integration into virtual reality live streams without real-time processing delays, resolving the contradiction between customization capability and system complexity.
2Manufacturing precision
If multiple capturing devices and processing steps are used to create personalized virtual environments, then the manufacturing precision of the virtual environment is improved, but the ease of manufacture deteriorates
Solution Approach 1:
The system creates template copies of environment instances by embossing views onto concave grids to generate neutral environment templates. These templates can be repeatedly instantiated and customized with preferential objects without re-processing the original environment data, maintaining high precision while simplifying implementation through template reuse.
Solution Approach 2:
The environment processing is divided into separate components: capturing devices capture raw environment data, concave grids process specific views (front and side), neutral environment templates store processed geometry, and object templates store preferential objects. This segmentation allows each component to be optimized independently and assembled systematically, improving precision while managing complexity.
3Speed
If real-time processing is performed on environment instances, then the speed of integration into virtual reality live streams is improved, but the use of energy increases
Solution Approach 1:
The system performs energy-intensive processing operations (capturing, embossing, template creation) in advance before the virtual reality live stream requires them. The pre-processed neutral environment templates and object templates are stored ready for instantaneous integration, achieving high speed integration while avoiding continuous energy consumption during stream playback.
Data Source
AI summary
Embodiments of the present invention provide a system for processing and integrating real-time environment instances into virtual reality live streams. The system is configured for determining that a user is accessing a virtual environment, capturing real-time environment instance associated with the virtual environment via one or more capturing devices, creating a neutral environment template based on processing the real-time environment instance, embedding one or more preferential objects associated with the user into the neutral environment template to generate a preferred environment template, and instantaneously integrating the preferred environment template into a virtual reality live stream associated with the virtual environment in real-time.


