Aligning 3D Dental Models with 2D Images via Camera Model Fitting
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Solution Overview
Problem
Existing dental treatment methods face challenges in accurately aligning multiple digital representations of a patient's dentition, particularly when trying to combine 2D and 3D digital images manually, which can lead to inaccuracy and error.
Innovation Solution
A computer-implemented method that aligns at least two digital representations of a patient's dentition by receiving a 2D digital image and a 3D digital surface model, selecting key points on both, and fitting a camera model to align the 3D model with the 2D image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment methods are used to combine 2D and 3D digital images, then ease of operation is maintained, but measurement precision and manufacturing precision deteriorate due to inaccuracy and error
Solution Approach 1:
The patent replaces manual mechanical alignment operations with an automated computer-based system that uses camera models and key point matching to calculate precise transformations between 2D and 3D digital representations, eliminating human error while maintaining operational simplicity through automated computation
Solution Approach 2:
The patent introduces a camera model as an intermediary mathematical framework that mediates between 2D image coordinates and 3D model coordinates, enabling precise alignment through parameter estimation and transformation calculations without direct manual manipulation
2Manufacturing precision
If automated camera model fitting is implemented to align 2D and 3D representations, then alignment precision improves, but device complexity and computational requirements increase
Solution Approach 1:
The patent segments the alignment process into distinct manageable steps: detecting key points on 2D images, identifying corresponding key points on 3D models, estimating camera model parameters, and calculating transformations, which simplifies the overall complex alignment task through modular processing
Solution Approach 2:
The patent changes parameters by estimating camera model parameters (intrinsic and extrinsic) from the alignment data, allowing the system to adapt to different imaging conditions and achieve precise alignment across various scenarios through parameter optimization rather than fixed rigid transformations
Data Source
AI summary
A computer-implemented method/system/medium includes receiving a two dimensional (“2D”) digital image including at least a portion of a person's dentition; receiving a three dimensional (“3D”) digital surface model of the person's dentition; receiving one or more 3D digital surface model key points selected on the 3D digital surface model; receiving one or more corresponding 2D digital image key points selected on the 2D digital image; and fitting a camera model using the one or more 3D digital surface model key points and the one or more corresponding 2D digital image key points to align the 3D digital surface model with the 2D digital image.