Gimbal Re-Shooting Angle Control Using Reference Frame 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 the need for improved adjustment methods.
Innovation Solution
A gimbal adjustment method and device that utilize a reference image frame sequence and shooting trajectory to estimate and adjust the gimbal's shooting angle during re-shooting, determining adjustment control based on current and reference image frames to improve re-shooting efficiency and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
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 the shooting effect is poor due to differences in shooting time, trajectory, and object position
Solution Approach 1:
The system performs image registration between the current image frame and reference image frame sequence to calculate the amount of adjustment control, then uses this feedback to adjust the gimbal. This closed-loop feedback mechanism ensures accurate shooting effects while maintaining efficient re-shooting operations.
Solution Approach 2:
The system pre-processes the reference image frame sequence and reference shooting trajectory to establish reference angle parameters before re-shooting. This preliminary preparation enables fast angle changes during re-shooting while ensuring accurate shooting effects through pre-calculated adjustment amounts.
2Manufacturing precision
If the gimbal adjusts based on both reference image frames and current image frame, then the shooting effect is improved, but the processing complexity and time increase
Solution Approach 1:
The system uses image registration to compare the current image frame with the reference image frame sequence, calculating the adjustment amount as feedback. This feedback mechanism improves shooting effect while keeping the process manageable through automated calculation rather than manual adjustment.
Solution Approach 2:
The system replaces manual gimbal adjustment with automated image processing and calculation. By using image registration algorithms to automatically determine adjustment amounts, the system reduces operational complexity while improving shooting precision.
3Manufacturing precision
If the gimbal adjusts based on both reference image frames and current image frame, then the shooting effect is improved, but the processing time increases
Solution Approach 1:
The system pre-processes and stores the reference image frame sequence and reference shooting trajectory before re-shooting operations. This preliminary preparation reduces processing time during actual re-shooting by having reference data ready for quick comparison and adjustment calculation.
Solution Approach 2:
The system uses efficient image registration algorithms to calculate adjustment amounts quickly by comparing current and reference frames. This feedback mechanism achieves accurate shooting effects while minimizing processing time through optimized computational methods.
Data Source
AI summary
A gimbal system includes a gimbal configured to support an imaging assembly, one or more processors, and a storage device storing program instructions that, when being executed by the one or more processors, cause the one or more processors to, in response to an image re-shooting instruction, obtain a target angle of the gimbal based on a reference shooting trajectory, adjust an angle of the gimbal to the target angle to allow the imaging assembly to capture a current image frame, and adjust the angle of the gimbal to a desired angle based on the current image frame to allow the imaging assembly to perform image re-shooting.