Personalized Virtual Digital Dentition via Facial Feature Analysis
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Solution Overview
Problem
Existing methods for designing customized smiles based on human personality traits are time-consuming due to the use of questionnaires for determining personality, which are cumbersome to administer and process.
Innovation Solution
A system and method that uses a digital image of a patient's front face to design personalized virtual digital dentition by associating cranio-facial vectors with predetermined personality traits, utilizing computer vision and machine learning to overlay 2D or 3D digital images of teeth based on similarity measures and predetermined sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If questionnaire-based methods are used to determine human personality traits for customized smile design, then personalized dentition can be achieved, but the process becomes time-consuming and cumbersome to administer and process
Solution Approach 1:
The patent replaces the mechanical questionnaire-based personality assessment system with an automated computer vision system that extracts cranio-facial features directly from digital images. This substitution eliminates manual administration and processing, automatically determining personality traits through algorithmic analysis of facial geometry and features, thereby resolving the time-consuming nature of traditional methods while maintaining personalization capability
Solution Approach 2:
The patent creates a digital copy of the patient's cranio-facial features through image processing and generates virtual digital dentition as a digital representation. This copying approach allows for automated analysis and manipulation of facial data without requiring physical examinations or manual measurements, significantly reducing the time required for personalized smile design while preserving adaptability
2Adaptability or versatility
If traditional questionnaire methods are used for personality assessment, then personality traits can be determined, but the ease of operation deteriorates due to cumbersome administration and processing
Solution Approach 1:
The patent replaces the manual questionnaire administration and processing system with an automated computer vision and machine learning system. The system automatically captures digital images, extracts cranio-facial features, and determines personality traits through algorithmic analysis, eliminating the need for manual questionnaire distribution, collection, and processing, thereby dramatically improving ease of operation while maintaining personality assessment capability
Solution Approach 2:
The patent implements a self-service system where the computer vision algorithm automatically performs all steps of personality trait determination without human intervention. The system independently processes digital images, extracts relevant features, and generates personality assessments, freeing practitioners from the burdensome task of administering and processing questionnaires while maintaining accurate personality trait determination
Data Source
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AI summary
The subject application provides systems and methods for providing personalized virtual digital dentition of a patient. Indeed, inventors have found a way of designing a personalized virtual digital dentition of a patient that is based only on a digital image of the front face of the patient. The system (100) comprises at least one memory (110), processor-based acquiring means (120) and processor-based computer vision means (130), which are operatively coupled to each other. Processor-based computer vision means (130) may implement a machine learning classifier which is trained for predicting the likelihood that a set of cranio-facial features of a human face is similar to each of the set of reference cranio-facial features of a plurality of predetermined reference cranio-facial vectors.