Dynamic Camera Focus and Intrinsic Parameter Retrieval for 3D Reconstruction
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Solution Overview
Problem
Camera vision systems face challenges in achieving high-resolution 3D reconstruction due to the need for precise intrinsic camera calibration parameters, which are dependent on the focus state of the camera, especially when the distance from the camera to the object changes, as existing technologies do not dynamically adjust focus and retrieve accurate intrinsic parameters in real-time.
Innovation Solution
A camera vision system that includes a camera, a distance sensor with a fixed spatial relationship, and a system controller that adjusts the camera focus state based on sensed distances and retrieves corresponding intrinsic parameter values to ensure accurate 3D reconstruction, using a combination of geometric calculations and lookup tables or interpolation for dynamic focus adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the camera uses fixed intrinsic calibration parameters, then the system is simple and fast, but the 3D reconstruction accuracy deteriorates when the camera focus state changes
Solution Approach 1:
The patent implements dynamic intrinsic parameter adjustment by continuously updating calibration parameters based on real-time focus state detection. The system transitions from static to dynamic calibration by monitoring focus changes and retrieving corresponding intrinsic parameters from a database, thereby maintaining 3D reconstruction accuracy across varying focus states without requiring complex real-time recalibration computations.
Solution Approach 2:
The patent performs preliminary calibration at multiple discrete focus states and stores the corresponding intrinsic parameters in a database before actual operation. During runtime, the system simply retrieves the appropriate pre-computed parameters based on the current focus state, avoiding the need for complex real-time recalibration while ensuring high 3D reconstruction accuracy.
2Adaptability or versatility
If the camera dynamically adjusts focus state, then the adaptability to varying distances improves, but the reliability of intrinsic parameters deteriorates
Solution Approach 1:
The system dynamically adapts focus states based on object distance while maintaining parameter reliability through a database-driven approach. The camera controller continuously adjusts focus according to distance sensor feedback, and the intrinsic parameter retrieval system ensures that accurate, pre-computed parameters corresponding to the current focus state are always used, thereby maintaining reliability despite dynamic focusing.
Solution Approach 2:
The patent implements a feedback mechanism where the distance sensor continuously monitors object distance and provides feedback to the camera controller. This feedback loop enables the system to automatically adjust focus state and retrieve appropriate intrinsic parameters, ensuring both adaptability to varying distances and reliability of calibration parameters through continuous closed-loop control.
3Manufacturing precision
If the system retrieves intrinsic parameters in real-time, then the 3D reconstruction quality improves, but the processing time increases
Solution Approach 1:
The patent performs the computationally intensive intrinsic parameter calibration in advance at multiple discrete focus states and stores the results in a database. During actual operation, the system simply retrieves pre-computed parameters through lookup operations rather than performing real-time recalibration, significantly reducing processing time while maintaining high 3D reconstruction quality.
Solution Approach 2:
The system dynamically selects and retrieves intrinsic parameters based on the current focus state without performing real-time computations. The dynamic parameter retrieval mechanism uses the focus state information to index into pre-computed parameter databases, achieving fast parameter acquisition that maintains both quality and speed in 3D reconstruction.
Data Source
AI summary
A camera vision system for creating 3D reconstructions of objects may include a camera, a distance sensor having a fixed spatial relationship with the camera, and a system controller. The system controller receives distance sensor signals from the distance sensor indicating a sensor-to-object distance, determines a camera-to-object distance and a corresponding camera focus state based on the sensor-to-object distance, and transmits camera focus state control signals to cause the camera to adjust to the camera focus state. The system controller retrieves camera intrinsic parameter values for the camera focus state, transmits image capture control signals to cause the camera to capture an object image of the object, receives object image data from the camera for the captured object image, and stores the object image data and the camera intrinsic parameter values in an image database for use in the 3D reconstruction.