Gimbal Re-Shooting Alignment Using Trajectory and Image Feedback
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Solution Overview
Problem
In video production, repeatedly shooting the same scene with a gimbal results in poor shooting effects due to differences in shooting time, trajectory, and object position, as the gimbal only adjusts based on angle parameters, leading to inefficiencies and suboptimal image capture.
Innovation Solution
A gimbal adjustment method that involves obtaining a reference image frame sequence and trajectory, estimating the shooting angle, and adjusting the gimbal based on this data during re-shooting, while also determining and applying adjustment controls based on current image frames to improve alignment and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the gimbal only performs angle change based on the angle parameters corresponding to the shooting trajectory of the sample, then the shooting process is simple and fast, but it results in poor shooting effect of the camera
Solution Approach 1:
The system performs image registration between the current image frame and reference image frame sequence to determine the amount of adjustment control, then feeds this information back to adjust the gimbal. This closed-loop feedback mechanism ensures accurate shooting effects by continuously correcting gimbal position based on actual image alignment requirements.
Solution Approach 2:
The system pre-processes the reference image frame sequence and reference shooting trajectory to establish a baseline for comparison. By performing image registration and determining adjustment controls in advance based on reference data, the system prepares correction parameters before actual shooting, improving both effectiveness and efficiency.
2Adaptability or versatility
If the gimbal adjusts based on angle parameters during re-shooting, then the adjustment process is quick, but it does not account for differences in shooting time, trajectory, and object position
Solution Approach 1:
The system uses image registration to compare current image frames with reference frames, automatically detecting differences in shooting time, trajectory, and object position. This feedback mechanism enables the gimbal to adapt to various shooting variations without manual intervention, balancing adaptability with time efficiency.
Solution Approach 2:
The system performs self-adjustment by automatically determining the amount of adjustment control through image registration and trajectory comparison. The gimbal adjustment device autonomously corrects for shooting variations without requiring external control, reducing time loss while maintaining high adaptability to different shooting conditions.
3Manufacturing precision
If multiple re-shoots are performed to obtain the best image, then the shooting quality improves, but the shooting efficiency decreases
Solution Approach 1:
The system performs image registration between current and reference frames to determine precise adjustment controls, providing feedback that guides gimbal positioning. This ensures high image quality by maintaining accurate alignment while reducing the need for multiple re-shoots, thereby improving shooting efficiency.
Solution Approach 2:
The system pre-establishes the reference image frame sequence and reference shooting trajectory, preparing all necessary reference data in advance. This preliminary preparation enables rapid comparison and adjustment during shooting, ensuring high image quality without requiring multiple time-consuming re-shoots.
Data Source
AI summary
The present disclosure provides a gimbal adjustment method. The method includes obtaining a reference image frame sequence and a reference shooting trajectory formed by a movement of a mobile platform when shooting the reference image frame sequence, the reference image frame sequence including two or more reference image frames, the mobile platform including a gimbal and an imaging assembly; estimating a shooting angle based on the reference shooting trajectory, and adjusting the gimbal based on an estimated shooting angle during an image re-shooting; obtaining a current image frame; and determining an amount of adjustment control of the gimbal based on the current image frame and the reference image frame sequence, and adjusting the gimbal based on the amount of adjustment control.