Parametric Spectacle Frame Fitting With Biometric Head Data
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Solution Overview
Problem
Existing modeling programs do not allow for the adaptation of parametric models of spectacle frame elements to a wearer's head, as they lack functionality for exporting and modifying these models outside the program, and existing methods for generating parametric replacement models are not data-driven, leading to unrealistic results and dependence on specific software formats.
Innovation Solution
A method for generating a parametric replacement model by specifying multiple instances of the parametric model, determining a set of segments, and using biometric data to optimize parameter values for adapting the model to the wearer's head, allowing for automated and high-quality customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a parametric model of a spectacle frame element is adapted to a wearer's head using existing modeling programs, then the spectacle frame element can be customized to fit individual head geometries, but the process requires manual intervention and is not automated because existing programs lack functionality for exporting and modifying parametric models outside the program
Solution Approach 1:
The system segments the parametric model adaptation process into distinct modules: head geometry scanning, parametric model loading, parameter extraction, model transformation, and fitting evaluation. Each module operates independently and can be processed automatically, eliminating the need for manual intervention while maintaining ease of operation through a structured workflow.
Solution Approach 2:
The patent introduces an intermediary software system that acts as a bridge between existing modeling programs and head scanning systems. This intermediary automatically imports parametric models, extracts parameters, transforms them to match head geometries, and exports the customized models, thereby automating the entire adaptation process without requiring manual operation.
2Extent of automation
If parametric replacement models are generated using rule-based methods, then the generation process can be automated, but the models may be unrealistic because the methods are not data-driven
Solution Approach 1:
The system implements feedback loops where generated parametric replacement models are automatically evaluated against reference head geometries and real-world data. The evaluation results feed back into the generation process, adjusting parameters to improve model realism. This data-driven feedback mechanism ensures that automation does not compromise the accuracy and realism of the generated models.
Solution Approach 2:
The patent utilizes parameter changes by systematically varying geometric parameters of the parametric models based on actual head measurement data. Instead of relying on fixed rules, the system adjusts parameters such as head circumference, face width, and contour curvature to match real-world variations, thereby generating realistic models through data-driven parameter optimization.
3Manufacturing precision
If multiple instances of a parametric model are specified to generate a parametric replacement model, then the customization quality improves, but the computational effort and time increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing geometric features, parameter relationships, and transformation rules before the actual customization process. Reference head geometries and parametric model templates are pre-analyzed and organized, so that during customization, the system can quickly retrieve and apply appropriate parameters without performing computationally intensive calculations from scratch, thereby reducing time loss while maintaining high customization quality.
Solution Approach 2:
The patent employs copying by creating simplified representations or proxies of multiple parametric model instances. Instead of processing all detailed instances simultaneously, the system generates condensed versions that capture essential geometric characteristics. These copied representations are used for rapid comparison and parameter extraction, significantly reducing computational time while preserving the customization quality needed for accurate head fitting.
Data Source
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AI summary
The invention relates to a computer-implemented method (10, 10', 10") for individualising a spectacle frame element (24) by adapting a parametric model of a spectacle frame element (24) to the head of a spectacles-wearer. A parametric substitution model, having at least one parameter, for the parametric model of the spectacle frame element (24) is determined by specifying a plurality of instances (30) of the parametric model in the form of realisations of the parametric model using concrete parameter values, at least one basic instance (38) and at least one parametric deformation map for the at least one basic instance (38) are determined from the predefined instances (30), the at least one parametric deformation map mapping the at least one basic instance (38) to instances (30) of the parametric model, and the parametric substitution model being determined at least from the at least one basic instance (38) and the at least one parametric map. Biometric data relating to the head of the spectacles-wearer are determined, and at least one parameter value is determined for the at least one parameter of the parametric substitution model of the spectacle frame element (24) by optimising a function that considers at least one surface point of a determined basic instance (38) of the parametric substitution model of the spectacle frame element (24) and determined data (31) relating to the head of the spectacles-wearer.