Automated Smile Modeling Using Facial Measurements and Ideal Rules
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Solution Overview
Problem
The current smile design modeling process lacks the ability to accurately model the ideal smile on every individual through a fully automated process, requiring significant time and prone to human error.
Innovation Solution
An apparatus that captures facial measurements via a camera system, generates a structural feature model, identifies ideal measurements using stored rules, determines desired changes, and applies these changes to create a final structural feature model, which can be displayed on a display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual smile design modeling is performed, then the process can be completed with existing tools, but the process takes 30 minutes to 1.5 hours and is prone to human error
Solution Approach 1:
The patent replaces the manual mechanical process of smile design modeling with an automated computer-based system. The system captures facial measurements via camera, generates initial structural feature models, identifies ideal measurements using stored rules, determines desired changes, and applies transformations automatically. This substitution of manual mechanical operations with automated computational processes eliminates human error and significantly reduces the time required while maintaining or improving accuracy.
2Productivity
If automated smile design modeling is implemented, then the process time is reduced and human error is eliminated, but the device complexity increases
Solution Approach 1:
The automated smile design modeling system is divided into distinct functional modules: a capture module for acquiring facial measurements, a generation module for creating initial structural feature models, an identification module for determining ideal measurements using stored rules, a determination module for identifying desired changes, and an application module for applying transformations. This segmentation of complex functions into manageable modules reduces overall system complexity while maintaining high productivity.
Solution Approach 2:
The system employs stored rules and algorithms as intermediaries between the input facial measurements and the final smile design model. These rule-based intermediaries automate the complex decision-making process, eliminating the need for manual intervention while managing system complexity through pre-programmed logic rather than requiring complex real-time processing.
3Manufacturing precision
If automated processing with stored rules is used, then consistency and precision are improved, but the adaptability to individual patient needs may be reduced
Solution Approach 1:
The system maintains precision through automated rule-based processing while preserving adaptability through dynamic customization capabilities. The apparatus allows users to modify ideal measurements and desired changes based on individual patient needs, and the system dynamically adjusts the transformation process accordingly. This dynamic adaptability ensures that while the core processing remains precise and automated, the final results can be customized to meet specific patient requirements.
Data Source
AI summary
An apparatus for automatically modeling smile design may be configured to capture a first set of facial measurements via a camera system. Using said first set of facial measurements a structural feature model may be generated. Generation of a structural feature model may include generating an initial structural feature model using at least a first set of facial measurements; identifying a plurality of ideal measurements; determining a plurality of desired changes; and applying said desired changes to the structural feature model, generating a final structural feature model. Lastly, the final structural feature model may be displayed on a display device.