Virtual Object Quantity Detection in VR Spatial Regions
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Solution Overview
Problem
In virtual reality (VR) scenes, feedback is typically only provided to users for the position of a single virtual object, failing to account for multiple users and their corresponding virtual objects, which limits the realism and user experience.
Innovation Solution
A data processing method and apparatus that acquires the quantity of virtual objects in a spatial region and executes instructions based on preset intra-group quantity thresholds, allowing feedback to multiple users by adjusting the display or audio cues for virtual objects in VR scenes, thereby enhancing realism and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If feedback is provided only for the position of a single virtual object, then the system complexity is low, but the user experience and realism are insufficient
Solution Approach 1:
The patent segments the virtual scene into multiple spatial regions and divides feedback processing by region. Each spatial region independently tracks virtual objects and provides feedback, allowing the system to scale complexity according to the number of regions rather than processing all objects globally, thus improving user experience while controlling system complexity.
Solution Approach 2:
The patent implements feedback processing selectively based on spatial region and object quantity thresholds. Instead of providing feedback for all virtual objects unconditionally, the system applies feedback processing only when objects enter specific spatial regions and meet quantity criteria, reducing unnecessary computational overhead while enhancing user experience in relevant scenarios.
2Reliability
If feedback is provided for multiple virtual objects and users, then the realism and user experience improve, but the computational complexity and processing load increase
Solution Approach 1:
The patent applies different feedback processing strategies to different spatial regions based on local conditions. Each spatial region has its own object quantity threshold and feedback rules, allowing the system to provide detailed feedback where needed (high realism) while using simpler processing in other regions, thus balancing realism with computational complexity.
Solution Approach 2:
The system performs feedback processing partially by activating it only when virtual objects enter specific spatial regions and meet quantity thresholds. This selective approach provides comprehensive feedback for multi-object scenarios (improving realism) while avoiding unnecessary processing in single-object or irrelevant scenarios (reducing computational complexity).
Data Source
AI summary
A data processing method and an apparatus, an electronic equipment and a storage medium are provided. The data processing method includes: acquiring the first quantity of the first object entering a spatial region corresponding to the first space object, the first space object being an object in a current virtual scene, and the first object being a virtual object corresponding to the first user in the virtual scene; and executing an instruction corresponding to the first space object and/or the first object in a case where the first quantity and a preset intra-group quantity threshold satisfy a first preset relationship.