Scanning Folded Camera OIS for Rotational Motion Compensation
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Solution Overview
Problem
Existing optical image stabilization (OIS) systems for handheld devices with scanning folded cameras are inadequate as they fail to compensate for rotational motion due to the changing coordinate systems between the handheld device and the scanning folded camera, particularly affecting the point of view (POV) during scanning.
Innovation Solution
Implementing a system with an optical path folding element (OPFE) actuator, motion sensor, and actuators to move camera components, coupled with a processing unit for coordinate transformation using Rodrigues' rotation formula, to compensate for undesired rotational motion based on the camera's POV, aligning coordinate systems and stabilizing the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing OIS systems are used in scanning Tele cameras, then the system structure remains simple, but the system cannot effectively compensate for rotational motion due to changing coordinate systems
Solution Approach 1:
The patent introduces an intermediary coordinate transformation system that acts as a mediator between the IMU coordinate system and the camera coordinate system. This intermediary layer performs real-time coordinate transformations using Rodrigues' rotation formula, enabling effective OIS compensation despite the changing coordinate systems in scanning tele cameras.
Solution Approach 2:
The patent replaces the traditional mechanical OIS approach with a computational approach. Instead of relying solely on physical sensor movement, the system uses coordinate transformations and mathematical calculations (Rodrigues' rotation formula) to compensate for rotational motion, substituting mechanical compensation with computational correction.
2Adaptability or versatility
If the OPFE is rotated to scan different FOV sections, then the field of view coverage is improved, but the coordinate system changes make OIS compensation difficult
Solution Approach 1:
The patent implements a dynamic coordinate transformation system that adapts in real-time as the OPFE rotates. The system continuously updates the coordinate transformation parameters based on the current OPFE rotation angle, enabling the OIS compensation to remain effective throughout the entire FOV scanning range rather than being fixed to a single coordinate system.
Solution Approach 2:
The patent changes the parameters of the coordinate transformation based on the OPFE rotation state. By using Rodrigues' rotation formula with dynamically updated rotation angles, the system adjusts the transformation parameters to match the current FOV section being scanned, maintaining coordinate alignment across different viewing angles.
3Reliability
If actuators move camera components for OIS compensation, then image stability is improved, but the system complexity and control difficulty increase
Solution Approach 1:
The patent implements a feedback control system where the IMU continuously provides rotational motion data, which is processed through coordinate transformations to determine the required compensation. The system feeds this information back to the actuators, creating a closed-loop control system that automatically adjusts camera component positions based on real-time hand shake measurements.
Solution Approach 2:
The patent replaces complex mechanical control systems with a computational control approach. By using coordinate transformations and mathematical algorithms to process IMU data and calculate compensation movements, the system simplifies the control logic while maintaining effective image stabilization through software-based solutions.
Data Source
AI summary
A Tele folded camera operative to compensate for an undesired rotational motion of a handheld electronic device that includes such a camera, wherein the compensation depends on the undesired rotational motion and on a point of view of the Tele folded camera.