Dental Occlusion Model Alignment and Animation
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Solution Overview
Problem
Current 3D scanning technologies in dental treatment face challenges in generating accurate and efficient occlusion models that allow for easy comparison and analysis of jaw movements, hindering optimal treatment planning.
Innovation Solution
A data processing method that aligns occlusion data with upper and lower jaw data to generate multiple occlusion models, enabling continuous display and animation of these models to enhance visual convenience and accuracy in analyzing jaw movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple occlusion models are generated by aligning occlusion data with upper and lower jaw data, then the accuracy and completeness of jaw movement analysis is improved, but the complexity of data processing and model generation increases
Solution Approach 1:
The patent segments the occlusion data into multiple distinct occlusion models, each representing different jaw movement states or characteristics. By dividing the complex dataset into manageable segments (first occlusion model, second occlusion model, etc.), the system can process and analyze each model individually while maintaining overall accuracy, thus reducing the perceived complexity through structured organization.
Solution Approach 2:
The patent performs preliminary alignment of occlusion data with upper and lower jaw data before generating the occlusion models. This preliminary action establishes a standardized reference framework that simplifies subsequent model generation and comparison, reducing the complexity of the overall data processing workflow by preparing the data structure in advance.
2Reliability
If occlusion data is aligned with upper jaw data and lower jaw data to generate occlusion models, then the stability and reliability of the models is improved, but the time required for model generation increases
Solution Approach 1:
The patent performs preliminary alignment of occlusion data with upper and lower jaw data before generating the occlusion models. This preliminary action establishes a standardized reference framework that simplifies subsequent model generation and comparison, reducing the complexity of the overall data processing workflow by preparing the data structure in advance.
Solution Approach 2:
The patent generates multiple occlusion models by copying and varying the aligned occlusion data to represent different jaw movement states. By using the same reliable alignment foundation for all models, the system maintains consistency and stability across all models while reducing the time required compared to generating each model from scratch with independent alignment.
3Ease of operation
If multiple occlusion models are continuously displayed with animation effects, then the ease of operation and visual convenience for analysis is improved, but the computational resources and processing load increase
Solution Approach 1:
The patent implements dynamic animation effects that smoothly transition between different occlusion models, allowing users to visually compare jaw movement states in a controlled manner. The animation operates at manageable computational levels by interpolating between model states rather than rendering all models simultaneously at full complexity, thus improving visual convenience while controlling resource consumption.
Solution Approach 2:
The patent segments the display into a main occlusion model and separate animation components that highlight specific movement trajectories or differences. By segmenting the visual presentation, the system can allocate computational resources efficiently, rendering only the necessary animation elements rather than the complete model set, thus improving ease of operation while reducing processing load.
Data Source
AI summary
A data processing method according to the present invention comprises: an occlusion data acquisition step of acquiring a plurality of occlusion data, which includes at least a portion of the shape of the upper jaw and the shape of the lower jaw of an object; an occlusion model generation step of aligning each of the plurality of occlusion data with upper jaw data expressing the upper jaw and lower jaw data expressing the lower jaw, so as to generate a plurality of occlusion models; and an occlusion model display step of continuously displaying at least some of the plurality of occlusion models.