Calibrating Autofocus Deflection in Dual-Lens Image Capturing Devices
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Solution Overview
Problem
Image capturing devices experience errors in autofocusing due to deformation or offset of lenses and focusing actuators caused by external factors such as drops, bumps, temperature, or humidity changes, leading to unstable image quality.
Innovation Solution
A method and device for calibrating image defection by capturing multiple image sets with first and second lenses, detecting defects through image coordinate analysis or depth estimation, and recalibrating the focusing step-to-focusing distance relation to ensure accurate lens positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If pre-stored focusing step-to-focusing distance relation is used for autofocusing, then focusing speed is improved, but focusing accuracy deteriorates due to lens deformation and offset
Solution Approach 1:
The system performs preliminary calibration to detect lens deformation and offset, then uses this detected information to correct the pre-stored focusing step-to-focusing distance relation during autofocusing, allowing the use of pre-stored data for speed while applying corrections for accuracy
Solution Approach 2:
The system detects actual lens position and focusing distance, compares it with the pre-stored relation, and feeds back correction information to adjust the focusing step-to-focusing distance relation, enabling continuous improvement of focusing accuracy while maintaining speed
2Measurement precision
If manual calibration is performed to correct lens deformation, then focusing accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system automatically detects lens deformation and offset, and performs self-calibration by correcting the focusing step-to-focusing distance relation without requiring user intervention, making the calibration process simple and convenient
Solution Approach 2:
The system replaces manual mechanical calibration operations with automatic detection and computation based on image processing and focusing data, eliminating the need for user intervention while maintaining high accuracy
Data Source
AI summary
A method for calibrating image defection of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is defective. When the reference image set is detected to be defective, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets.