3D Reconstruction Using Reference 3D Data Registration
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Solution Overview
Problem
Existing 3D reconstruction processes face challenges in achieving accurate 3D representations due to errors propagated from images captured at different perspectives or conditions, leading to unsatisfactory models.
Innovation Solution
The method involves correlating each image with a high-precision reference 3D data set to update intrinsic and extrinsic camera parameters, using stereo image pairs for registration, and employing iterative refinement to generate a high-precision 3D data set, with preprocessing steps like pansharpening and atmospheric compensation to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image processing methods are used for 3D reconstruction, then the process is simpler, but the positional accuracy and precision of the generated 3D model deteriorates
Solution Approach 1:
The patent performs image registration and determines camera parameters before conducting 3D reconstruction. By pre-processing the images to establish accurate geometric relationships and correct lens distortions beforehand, the method improves positional accuracy in the final 3D model without adding excessive complexity to the core reconstruction algorithm
Solution Approach 2:
The patent introduces a reference 3D data set as an intermediary to guide and constrain the 3D reconstruction process. This reference model serves as a mediator that helps align the reconstructed features with known accurate positions, thereby improving measurement precision while providing a structured framework that manages process complexity
2Adaptability or versatility
If images from different perspectives and conditions are used, then more comprehensive 3D coverage is achieved, but errors propagate and worsen the accuracy of the reconstruction
Solution Approach 1:
The patent employs an iterative optimization process where the 3D reconstruction results are continuously compared against the reference 3D data set. This feedback mechanism allows the system to adjust camera parameters and reconstruction settings to minimize errors introduced by using diverse images from different perspectives and conditions, thereby maintaining both comprehensive coverage and high accuracy
Solution Approach 2:
The patent determines and optimizes camera parameters including focal length, principal point, and distortion coefficients for each image. By adjusting these parameters based on the specific characteristics of each image and its correspondence to the reference model, the method accommodates variations in perspective and imaging conditions while maintaining consistent accuracy across the entire 3D reconstruction
3Measurement precision
If arbitrary initial state is used for 3D reconstruction, then the process is faster to start, but the accuracy and reliability of the result deteriorates
Solution Approach 1:
The patent performs image registration and generates initial 3D point clouds before the main reconstruction optimization. This preliminary structuring of the data provides a better starting point for the iterative refinement process, reducing the number of iterations needed to achieve high accuracy and thereby minimizing the time loss
Solution Approach 2:
The reference 3D data set serves as an intermediary guide during the reconstruction process. By using this reference to constrain and guide the optimization of 3D coordinates, the method achieves higher accuracy more efficiently, as the search space is reduced and directed toward the correct solution rather than exploring arbitrary configurations
Data Source
AI summary
The present disclosure relates to a method (100) for 3D reconstruction. The method comprises obtaining (S100) a set of images, each image overlapping a region of interest, performing (S400) image registration for the set of images, wherein performing the image registration comprises correlating (S410) each image with a reference 3D data set, the correlating (S410) of each image with the reference 3D data set being arranged to determine the positional accuracy of each image to the same positional accuracy of the reference 3D data set, and generating (S600) a 3D data set relating to the region of interest using (S610) 3D reconstruction based on the registered images. The present disclosure also relates to corresponding computer program products and systems.