Camera Imaging Model Building via Tangential Distortion Adjustment
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Solution Overview
Problem
Conventional camera imaging systems face inaccuracies and slow calibration due to unscientific imaging models, leading to inaccurate description of interior and exterior parameters.
Innovation Solution
A method and device for building a camera imaging model that optimizes the conversion of world coordinate values into digital image coordinate values through a series of spatial sampling operations and distortion adjustments, including radial and tangential distortions, to create an accurate and rapid camera imaging model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional camera imaging models are used for calibration, then the calibration process can be completed, but the calibration speed is slow and the accuracy of interior and exterior parameters is insufficient
Solution Approach 1:
The patent changes the parameter representation by introducing a tangential distortion model with parameters k1, k2, p1, p2 that better describe the actual distortion characteristics of the camera system. This parameter transformation enables more accurate fitting of distortion patterns while maintaining computational efficiency, thereby improving both measurement precision and calibration speed simultaneously
2Reliability
If conventional imaging models are used, then the calibration process is simpler, but the description of the imaging system is inaccurate
Solution Approach 1:
The patent segments the distortion model into distinct components: radial distortion (k1, k2) and tangential distortion (p1, p2). This segmentation allows each type of distortion to be modeled and corrected independently, improving the reliability of the imaging system description while keeping the overall model structure organized and manageable rather than overly complex
3Productivity
If conventional calibration methods are used, then the process can be completed, but it is slow due to unscientific imaging models
Solution Approach 1:
The patent applies preliminary action by pre-defining the tangential distortion model structure and parameters before the calibration process begins. The coordinate transformation formulas incorporating tangential distortion are prepared in advance, allowing the calibration algorithm to directly use these pre-established relationships rather than deriving them during calibration, thus improving calibration speed without sacrificing accuracy
Data Source
AI summary
A method for building a camera imaging model includes: converting world coordinate values of a random point P into camera coordinate values of a target camera in accordance with a predetermined mode; converting the camera coordinate values into image coordinate values of the target camera; and converting the image coordinate values into digital image coordinate values and building the camera imaging model. The converting the image coordinate values into the digital image coordinate values includes performing a spatial sampling operation on the random point P, and adjusting coordinate values of an origin to image coordinate values through calculation. The method can be used in an automated driving system for a vehicle.