Autofocus Lens Convergence Using Motion and Rotation Feedback
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Solution Overview
Problem
Imaging devices face challenges in maintaining autofocus accuracy when capturing images with moving objects or when the device is in motion, leading to image blurring and other distortions.
Innovation Solution
An imaging device system that incorporates a gyroscope sensor to detect device rotation, an automatic scene detection engine to track object motion, and a target position determination engine to adjust the lens position based on motion, rotation, and autofocus data, using coefficient values to determine a target lens position for improved autofocus convergence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional autofocus techniques are used to adjust lens position, then focus accuracy is improved, but image blurring occurs when objects or devices are in motion
Solution Approach 1:
The system performs preliminary detection of motion conditions (object motion and device rotation) before finalizing the autofocus adjustment. By detecting motion in advance and adjusting the lens convergence speed accordingly, the system prevents image blurring before it occurs during the focusing process.
Solution Approach 2:
The system dynamically adjusts the lens convergence speed based on detected motion conditions. When motion is detected, the convergence speed is reduced to match the motion rate, allowing the lens to track moving objects smoothly without causing blur. This dynamic adaptation resolves the contradiction between fast focusing and motion stability.
2Speed
If fast autofocus convergence is used, then focusing speed is improved, but image blurring occurs during motion
Solution Approach 1:
The system dynamically adjusts the lens convergence speed based on detected motion conditions. When motion is detected, the convergence speed is reduced to match the motion rate, allowing the lens to track moving objects smoothly without causing blur. This dynamic adaptation resolves the contradiction between fast focusing and motion stability.
Solution Approach 2:
The system uses feedback from motion detection (object motion and device rotation) to continuously adjust the lens convergence speed. This closed-loop control ensures that the focusing speed adapts to real-time motion conditions, maintaining image sharpness while still achieving efficient focus convergence when appropriate.
3Measurement precision
If lens position is adjusted based only on autofocus data, then autofocus performance is improved, but distortion occurs when device or objects are moving
Solution Approach 1:
The system merges multiple data sources (autofocus data, object motion data, and device rotation data) to determine the final lens target position. By combining these different types of information, the system achieves more accurate lens positioning that accounts for both focus requirements and motion conditions, eliminating distortions that would occur with autofocus data alone.
Solution Approach 2:
The system introduces motion detection data as an intermediary factor between autofocus detection and lens position adjustment. This intermediary information about object motion and device rotation mediates the relationship between focus requirements and actual lens positioning, ensuring accurate image capture under motion conditions.
Data Source
AI summary
Methods, systems, and apparatuses are provided to enhance autofocus processes based on the detected motion of objects within captured images and rotational movements of an imaging device. For example, an imaging device may receive a lens defocus value and a lens position for a lens based on applying an autofocus process to an image. The imaging device may also receive a motion value characterizing a motion of an object within the image, and a rotation value characterizing a rotation of the imaging device. Further, the imaging device may determine coefficient values based on the lens defocus value, the motion value, and the rotation value. The imaging device may also determine a target position for the lens based on the lens position, the motion value, and the rotation value and the coefficient values. The imaging device may further adjust the lens based on the target position.