360-Degree Image FOV Correction via Mobile Tilt Averaging
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Solution Overview
Problem
In a mobile environment, users consuming 360-degree images often miss important scenes due to limitations in the field of view (FOV) provided by conventional VR content playback systems, which are not adaptable to the user's tilt or gesture inputs, leading to an incomplete viewing experience.
Innovation Solution
A method and system that corrects the FOV of 360-degree images by averaging tilt and gesture input values on mobile terminals, allowing for dynamic adjustment of the viewing angle based on user interactions, and automatically resetting to an initial viewing angle for optimal content consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the FOV of 360-degree images is fixed based on conventional VR playback systems, then the system complexity is reduced, but users miss important scenes due to inadequate adaptation to user tilt or gesture inputs
Solution Approach 1:
The system collects tilt information from the mobile terminal's sensor and gesture input values, averages these values over time, and uses the averaged feedback to dynamically correct the FOV. This feedback mechanism allows the system to adapt to user intentions without requiring complex real-time processing of every raw input variation.
Solution Approach 2:
The system performs preliminary averaging of tilt and gesture values before using them to correct the FOV. By pre-processing the sensor data through averaging, the system reduces noise and prepares optimized correction parameters in advance, simplifying the subsequent FOV adjustment process.
2Measurement precision
If the FOV is dynamically adjusted based on real-time tilt and gesture inputs, then user experience is improved, but measurement and processing complexity increases
Solution Approach 1:
The system performs preliminary averaging of tilt and gesture values before using them to correct the FOV. By pre-processing the sensor data through averaging, the system reduces noise and prepares optimized correction parameters in advance, simplifying the subsequent FOV adjustment process.
Solution Approach 2:
The system collects tilt information from the mobile terminal's sensor and gesture input values, averages these values over time, and uses the averaged feedback to dynamically correct the FOV. This feedback mechanism allows the system to adapt to user intentions without requiring complex real-time processing of every raw input variation.
3Manufacturing precision
If the FOV is corrected using averaged tilt values, then viewing accuracy is improved, but processing time increases
Solution Approach 1:
The system applies partial correction by averaging tilt and gesture values over a limited time window rather than processing all historical data. This partial action approach achieves sufficient viewing accuracy while minimizing processing time and avoiding excessive computational overhead.
Data Source
AI summary
A method and a system for correcting a field of view (FOV) using tilt information of a user terminal upon playback of a 360-degree image. The method includes requesting to load a 360-degree image, correcting at least one of a tilt of the mobile terminal and a sensing value associated with a gesture input of the mobile terminal, for determining an FOV of the 360-degree image, with respect to the 360-degree image, and playing back the 360-degree image by exposing an FOV depending on at least the corrected tilt or the corrected sensing value.


