Spherical Panorama Imaging Automation via Pre-calculated Gimbal Control
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Solution Overview
Problem
Current spherical panorama imaging approaches require manual control of imaging devices and gimbal/UAVs, leading to deviations in image orientation, unstable overlapping areas, and high computational demands for stitching, which complicates the process and reduces efficiency.
Innovation Solution
A method and system for automatically capturing and stitching spherical panorama images by collecting imaging parameters to devise an imaging scheme, including determining the number of images and their orientations based on the device's field of view, gimbal, and mobile platform, allowing for automatic image acquisition and alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual control of imaging device and gimbal/UAV is used, then flexibility in operation is maintained, but image orientation deviations occur and overlapping areas become unstable
Solution Approach 1:
The system automatically controls the imaging device and gimbal/UAV based on pre-set panorama parameters, eliminating the need for manual operation during image capture. The controller autonomously adjusts angles, positions, and timing to ensure precise image orientation and stable overlapping areas, while operators only need to initiate the process.
Solution Approach 2:
The system incorporates sensors and controllers that continuously monitor the actual positions and angles of the imaging device and gimbal/UV, comparing them with target values. Real-time feedback enables automatic correction of deviations, ensuring precise image orientation and consistent overlapping areas between consecutive shots.
2Productivity
If manual control is used, then operational flexibility is preserved, but computational demands for stitching increase significantly
Solution Approach 1:
The system pre-calculates the optimal imaging parameters, angles, and positions before capture based on the desired panorama specifications. By planning the entire shot sequence in advance with precise geometric relationships established, the amount of computational work required for stitching is significantly reduced, as images are already positioned and oriented correctly.
3Ease of operation
If automatic imaging scheme is implemented, then operational complexity is reduced, but system complexity increases
Solution Approach 1:
The controller is designed as a multi-functional device that integrates panorama parameter setting, automated gimbal/UV control, imaging device control, and stitching computation. This universal controller consolidates multiple functions into a single system, reducing overall system complexity while maintaining high automation levels.
Data Source
AI summary
An image processing method includes receiving an image of a scene and attitude information that is used by an imaging device to capture the image of the scene, and stitching the received image of the scene to a panorama image of the scene built on a compositing surface based on the attitude information.