Photogrammetry Calibration Updates for Unstable Environments
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Solution Overview
Problem
Existing photogrammetry systems face accuracy issues due to environmental conditions that are not stable and model-based compensations are insufficient for dealing with changing conditions, leading to decreased accuracy over time, especially when used in non-controlled environments.
Innovation Solution
A method and system for maintaining accuracy by continuously detecting a reduced number of 3D target points, measuring image position data, computing updated calibration parameters using temperature and gravity sensors, and updating calibration parameters in real-time to compensate for environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If model-based compensations are used to account for temperature and gravity changes, then the system can partially compensate calibration in presence of temperature changes, but the accuracy decreases over time when environmental conditions are not stable
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the positions of 3D target points and automatically updates calibration parameters based on detected deviations. This closed-loop approach allows the system to adapt to changing environmental conditions in real-time, resolving the contradiction between maintaining accuracy and adapting to unstable environments.
Solution Approach 2:
The patent transitions from static calibration parameters to dynamic calibration parameters that automatically adjust based on environmental changes. By continuously updating calibration parameters using detected target point positions and environmental sensor data, the system becomes adaptive to varying conditions while maintaining measurement accuracy.
2Reliability
If sophisticated calibration compensation models are implemented to compensate for temperature and gravity effects, then the system can maintain accuracy under varying conditions, but the device complexity increases
Solution Approach 1:
The patent enables the photogrammetry system to self-calibrate by automatically detecting deviations through 3D target points and adjusting its own calibration parameters without external intervention. This self-service mechanism reduces the need for complex manual calibration procedures and sophisticated compensation models while maintaining accuracy.
Solution Approach 2:
The patent changes the calibration parameters dynamically based on detected environmental conditions and target point positions. Instead of using fixed complex compensation models, the system adjusts parameters in real-time based on actual measurements, simplifying the overall system while maintaining accuracy.
3Ease of operation
If the photogrammetry system is built with lightweight materials such as aluminum to maintain portability, then the system is transportable and flexible, but the system deformation due to gravity increases
Solution Approach 1:
The patent uses feedback from gravity sensors and 3D target point detections to automatically compensate for structural deformations caused by using lightweight materials. The system measures actual positions and adjusts calibration parameters to account for gravity-induced deformations, maintaining accuracy despite portability requirements.
Solution Approach 2:
The patent replaces mechanical rigid structures with software-based compensation mechanisms. Instead of building a heavy rigid framework to prevent deformation, the system uses computational methods to correct for deformations caused by lightweight materials, maintaining both portability and stability.
Data Source
AI summary
A method and a system are disclosed for maintaining accuracy of a photogrammetry system comprising a stereo pair of cameras and characterized by calibration parameters determined at initialization, the system for tracking one of a touch probe and a 3D sensor, the method comprising in use, continuously detecting a presence of a reduced number of 3D target points comprising at least one pair of 3D target points selected in a group comprising at least two 3D target points; measuring image position data associated with the at least one pair of 3D target points of the reduced number of 3D target points; computing at least one updated calibration parameter using the measured image position data and corresponding reference distance data associated with the at least one pair of 3D target points of the reduced number of 3D target points; and updating at least one calibration parameter of the photogrammetry system.