Virtual Spectacle Frame Fitting via Segmented Optimization
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Solution Overview
Problem
Existing virtual fitting methods for spectacle frames often fail to achieve optimal fitting due to reliance on local optimization algorithms that may get stuck in local minima, especially when dealing with complex 3D models, and struggle to accurately incorporate frame-specific aesthetic guidelines and anatomical fitting criteria, leading to suboptimal results.
Innovation Solution
A method and apparatus for virtual fitting of spectacle frames that divide the fitting process into two procedures: one for satisfying frame-specific aesthetic guidelines and another for anatomical fitting, using a syntax tree for efficient optimization and considering the weight of spectacle lenses, with the option to encrypt guidelines for security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If local optimization algorithms are used for virtual fitting, then the computational process is simpler, but the fitting accuracy deteriorates due to getting stuck in local minima
Solution Approach 1:
The patent segments the optimization process into two distinct procedures: a first procedure that satisfies frame-specific aesthetic guidelines and a second procedure that performs anatomical fitting. This segmentation allows each procedure to focus on specific optimization goals, preventing the algorithm from getting stuck in local minima while maintaining computational efficiency.
Solution Approach 2:
The first fitting procedure performs preliminary optimization by satisfying aesthetic guidelines before the second procedure performs anatomical fitting. This preliminary action establishes a good initial configuration that helps the second procedure converge to the global optimum more effectively.
2Manufacturing precision
If frame-specific aesthetic guidelines are incorporated, then the fitting quality improves, but the device complexity increases
Solution Approach 1:
The patent separates aesthetic guideline satisfaction from anatomical fitting into two distinct procedures. The first procedure handles aesthetic guidelines using frame-specific parameters, while the second procedure handles anatomical constraints. This segmentation manages complexity by addressing different requirements independently.
Solution Approach 2:
The patent uses parameter changes to represent aesthetic guidelines and anatomical constraints mathematically. By transforming qualitative fitting requirements into quantitative parameter adjustments, the system manages complexity while improving fitting quality.
3Reliability
If multiple fitting criteria are considered simultaneously, then the fitting comprehensiveness improves, but the computational complexity increases
Solution Approach 1:
The patent divides multiple fitting criteria into two categories handled by separate procedures: aesthetic guidelines (frame-specific parameters) and anatomical constraints (head-specific parameters). This segmentation reduces computational complexity by avoiding simultaneous optimization of all criteria in a single procedure.
Solution Approach 2:
The first procedure performs preliminary optimization of aesthetic parameters before the second procedure optimizes anatomical parameters. This sequential approach reduces the overall computational burden while maintaining comprehensive fitting coverage.
Data Source
AI summary
A method for adjusting spectacles in which a virtual fitting process of a parametric frame model of a spectacle frame on a 3D model of the head of a person, to whom the spectacles are to be fitted, is divided into two fitting procedures. In a first fitting procedure, the parametric frame model is adjusted to the 3D model of the head to meet specific fitting guidelines for the parametric frame model. Fitting guidelines of this nature may be specified by a frame manufacturer to comply with aesthetic criteria in the fitting. Anatomic fitting is then performed in the second fitting procedure.