Dynamic Lens Calibration via Optical Codes for Attached Lenses
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Solution Overview
Problem
Image capture devices struggle to maintain accurate focus and calibration when additional lenses, such as macro lenses, are attached, leading to degraded performance in capturing visual content due to changes in optical properties like focus distance, field of view, and distortion.
Innovation Solution
The device employs machine-readable optical codes to dynamically calibrate the lens system by detecting these codes within captured content, adjusting focus and optical properties based on the conveyed information, enabling proper functioning with attached lenses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If additional lenses are attached to the image capture device to change the minimal focusing distance, then the focusing capability is improved, but the lens calibration accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts lens calibration parameters based on detected machine-readable optical codes. When an additional lens is attached, the system captures visual content, detects calibration codes, and automatically updates lens parameters (focal length, distortion coefficients, principal point) to maintain calibration accuracy across different lens configurations.
Solution Approach 2:
Machine-readable optical codes serve as intermediaries between the physical lens attachment and the digital calibration system. These codes encode lens identification information that mediates the calibration adjustment process, enabling the system to automatically adapt to different lens configurations without manual intervention.
2Measurement precision
If lens calibration is performed manually for each attached lens, then the calibration accuracy is improved, but the operation complexity increases
Solution Approach 1:
The system performs self-calibration by automatically detecting machine-readable optical codes and adjusting lens parameters without requiring manual intervention. The image capture device captures visual content containing calibration codes, processes the code information, and autonomously updates its lens calibration data, eliminating the need for users to manually calibrate each lens attachment.
Solution Approach 2:
The system implements a feedback loop where lens calibration is continuously adjusted based on detected optical codes. The calibration process captures visual content, detects codes containing lens information, evaluates the results, and refines calibration parameters iteratively, ensuring accurate adaptation to attached lenses while maintaining automated operation.
Data Source
AI summary
An image capture device may detect depiction of a machine-readable optical code within visual content captured by the image capture device. The machine-readable optical code may convey information for lens calibration with another lens attached over the lens of the image capture device. Attachment of the other lens over the lens of the image capture device may change optical properties (e.g., field of view, focus distance, depth of focus, and/or distortion) of the image capture device. The image capture device may perform lens calibration based on the information for lens calibration conveyed by the machine-readable optical code. The image capture device may be dynamically calibrated to capture visual content through the combination of the lens and other lens attached over the lens.