Environment Data Capture Feedback for Multi-User 3D Scene Fusion
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Solution Overview
Problem
Existing user equipment struggles to optimize the acquisition and processing of environment data, such as images, to improve quality and completeness, especially in scenarios where multiple users capture the same event or scenario.
Innovation Solution
An information processing apparatus that compares environment data with reference data to determine adjustments for data acquisition, notifies users of these adjustments, and fuses data from multiple users to generate enhanced scenario information, including three-dimensional images, panoramic views, and virtual reality data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user equipment independently acquires environment data without coordination, then each device can capture data autonomously, but the completeness and quality of the collected data is insufficient
Solution Approach 1:
The server compares environment data with reference data and generates adjustment instructions that are fed back to user equipment. This feedback loop enables the system to optimize data acquisition quality by guiding users to adjust their capture positions, angles, or parameters based on real-time analysis of collected data.
Solution Approach 2:
The system merges data from multiple user equipment devices by fusing environment data acquired from different users capturing the same scenario. This combination approach improves overall data completeness and quality by aggregating contributions from multiple sources under coordinated guidance.
2Quantity of substance
If multiple users capture the same scenario independently, then more data can be collected, but the data lacks coordination and integration
Solution Approach 1:
The server provides coordinated guidance to multiple users by comparing their environment data with reference data and generating specific adjustment instructions. This feedback mechanism ensures that multiple users capture complementary views rather than redundant data, improving overall data completeness through coordinated collection.
Solution Approach 2:
The system integrates data from multiple spatial perspectives and dimensions by coordinating users to capture scenarios from different positions and angles. This multi-dimensional approach transforms uncoordinated data volume into structured, complete scenario information through dimensional diversity.
3Reliability
If the system provides detailed adjustment instructions to users, then data acquisition quality improves, but the system complexity increases
Solution Approach 1:
The server acts as an intermediary that automatically performs complex comparison operations between environment data and reference data, then translates results into user-friendly adjustment instructions. This intermediary approach maintains high data quality while shielding users from system complexity by handling sophisticated processing in the background.
Solution Approach 2:
The system enables users to self-adjust their data acquisition parameters by providing them with clear, actionable instructions based on automated analysis. Users independently implement adjustments without requiring complex system configuration, maintaining quality while reducing operational complexity.
Data Source
AI summary
The present disclosure relates to an information processing apparatus and method, an electronic device and computer readable medium. According to an embodiment, an information processing apparatus includes processing circuitry configured to compare environment data acquired by a user equipment with reference data; determine, based on the comparison, an adjustment for an acquisition manner of the environment data; and perform a control to notify the user equipment of indication information related to the adjustment.