Coded Imaging Depth Estimation With Temperature-Adaptive PSF
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Solution Overview
Problem
The DFD technique for estimating object depth is affected by changes in environmental temperature, leading to inaccuracies in depth estimation due to shifts in the positional relationship between the optical system and imaging apparatus.
Innovation Solution
An imaging system that includes a temperature specifying section to determine the environmental temperature, a function specifying section to determine the point spread function based on this temperature, and a depth estimating section to decode the image using the specified point spread function, thereby correcting for errors in depth estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed point spread function is used for decoding, then the device complexity is reduced, but the measurement precision deteriorates due to temperature-induced errors
Solution Approach 1:
The patent implements dynamic adaptation by making the point spread function temperature-dependent. The system automatically adjusts the PSF based on detected temperature changes, transforming a static parameter into a dynamic one that adapts to environmental conditions, thereby maintaining depth estimation accuracy without requiring complex manual calibration procedures
Solution Approach 2:
The patent changes the parameter of the point spread function based on temperature measurements. By storing multiple PSF values corresponding to different temperatures and selecting the appropriate PSF based on the current temperature, the system maintains measurement precision while avoiding the complexity of real-time PSF recalculation
2Reliability
If temperature compensation is implemented, then the reliability improves, but the device complexity increases due to additional components
Solution Approach 1:
The system performs self-compensation for temperature effects by automatically detecting temperature changes and adjusting the point spread function accordingly. This self-service mechanism eliminates the need for external calibration equipment or manual intervention, improving reliability while keeping the system relatively simple
Solution Approach 2:
The patent implements a feedback loop where the temperature sensor continuously monitors environmental temperature and feeds this information back to the processing unit, which then selects the appropriate PSF. This closed-loop feedback mechanism ensures reliable depth estimation under varying temperature conditions without requiring complex hardware modifications
3Measurement precision
If real-time temperature monitoring and PSF adjustment is performed, then the measurement precision is maintained, but the productivity decreases due to additional processing steps
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing point spread functions for various temperature conditions before actual depth measurement. When temperature changes occur, the system simply retrieves the pre-computed PSF corresponding to the new temperature rather than recalculating it in real-time, thereby maintaining precision without significantly impacting processing speed
Data Source
AI summary
Object depth estimation based on coded imaging is improved in terms of practicality. An imaging system is provided to include: an imaging apparatus including an optical system and an imaging apparatus and configured to perform coded imaging on an object under use of the optical system and the imaging apparatus; a temperature specifying section configured to specify an environmental temperature of the imaging apparatus; a function specifying section configured to specify a point spread function used for decoding a captured image on the basis of the specified environmental temperature; and a depth estimating section configured to estimate a depth of the object at each position from the optical system by decoding the captured image of the imaging apparatus under use of the specified point spread function.