VR Control Parameter Adjustment Using Single-Camera Distance Detection
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Solution Overview
Problem
Current control systems for virtual reality applications require high labor and hardware costs due to manual adjustments and the need for additional cameras to achieve precise depth information, leading to operational inefficiencies and increased costs.
Innovation Solution
A method and apparatus that utilize a target recording device to obtain image information and calculate distances between the device and a target object, adjusting system parameters to output media information to a VR device, thereby reducing the need for manual adjustments and additional cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of control system parameters is used to track actor movement, then the performance effect can be maintained, but labor costs and operational complexity increase
Solution Approach 1:
The control system automatically tracks the actor's position and adjusts parameters without manual intervention. The system uses image acquisition devices to detect the actor's location and automatically controls the spotlight and other equipment to follow the actor, eliminating the need for manual operation while maintaining reliable performance effects
Solution Approach 2:
The system continuously acquires image information about the actor's position and uses this feedback to automatically adjust control parameters. The real-time detection and closed-loop control ensure the spotlight and other equipment consistently track the actor's movement, maintaining performance quality without manual intervention
2Measurement precision
If an additional depth camera is configured to obtain depth information, then precise depth data can be obtained, but hardware costs increase
Solution Approach 1:
The existing image acquisition devices in the control system are used for multiple purposes: both for visual capture and for depth information extraction. By processing images from these existing devices, the system obtains depth data without requiring additional depth cameras, reducing hardware costs while maintaining measurement precision
Solution Approach 2:
Instead of using physical depth cameras, the system extracts depth information by processing images from existing cameras. The depth map is generated as a computational copy of the spatial information, eliminating the need for additional hardware while achieving the same functional result
3Measurement precision
If a complicated algorithm is used to process binocular camera images and calculate depth information, then precise depth data can be obtained, but operational costs increase and real-time performance cannot be achieved
Solution Approach 1:
The system uses a single image acquisition device instead of complex binocular camera systems, and employs simplified depth extraction algorithms that process images efficiently. This approach achieves adequate depth precision with lower computational overhead, enabling real-time processing and maintaining productivity while reducing operational costs
Data Source
AI summary
Embodiments of the present disclosure disclose a method and an apparatus for operating a control system, a storage medium, and an electronic apparatus. The method includes: obtaining, by using a target recording device in a control system, first image information of a target object moving in a real scene; obtaining a first distance corresponding to the first image information, the first distance being a distance between the target recording device and the target object; and adjusting a target parameter of the control system according to the first distance, the target parameter being used for outputting media information to a virtual reality (VR) device, the VR device being connected to the control system, the media information being corresponding to movement information of the target object moving in the real scene, and the movement information comprising the first distance.