Virtual Eyewear Fit Evaluation Using 3D Face Docking
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Solution Overview
Problem
Existing eyewear selection methods, both online and offline, struggle to accurately determine a comfortable and aesthetically pleasing fit for consumers due to the lack of physical interaction, leading to uncertainty and suboptimal shopping experiences.
Innovation Solution
A method and apparatus for determining a virtual fit of eyewear by scoring available options based on comfort criteria (e.g., nose, ear, and temple comfort) and aesthetic criteria (e.g., face shape and color matching) using 2D and 3D image analysis to virtually dock eyeglasses on a user's face, providing an augmented reality experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If online businesses provide consumer-specific recommendations, then convenience and inventory access are improved, but the ability to determine a best fit is worsened due to lack of physical interaction
Solution Approach 1:
The patent creates a virtual copy of the consumer's face using 3D imaging and facial recognition technology. This digital twin allows the system to simulate eyewear fitting without physical contact, preserving both the convenience of online shopping and the accuracy of fit determination by repeatedly analyzing the virtual model's geometric properties
Solution Approach 2:
The patent replaces physical mechanical interaction (in-person try-ons) with digital simulation using computer vision, machine learning, and 3D rendering. The system uses algorithms to calculate fit metrics such as bridge width, lens size, and frame shape compatibility, substituting physical measurement with computational analysis
2Reliability
If consumers go for in-person try-ons, then fit confidence is improved, but shopping experience is worsened due to public pressure and limited inventory access
Solution Approach 1:
The system creates a private virtual replica of the consumer's face that allows unlimited try-on simulations without public exposure. The 3D facial model enables multiple fitting scenarios to be tested in isolation, providing fit confidence while eliminating the social pressure of in-store try-ons
Solution Approach 2:
The patent transitions from 2D photos to 3D volumetric modeling of the consumer's face. This adds the dimension of depth and spatial relationship, allowing the system to simulate how eyewear frames physically interact with facial contours, improving fit prediction accuracy while maintaining privacy
3Measurement precision
If brick and mortar retailers offer physical try-ons, then fit assessment is improved, but inventory and convenience are worsened
Solution Approach 1:
The system creates a digital twin of the consumer's face that can be used to assess fit for any eyewear product in the inventory, regardless of physical location. This virtual model enables accurate fit assessment for the complete product range without requiring consumers to visit physical stores or try multiple pairs in person
Data Source
AI summary
The present disclosure relates to a method and device for evaluating a fit of visual equipment. In an embodiment, the method (105) includes receiving (110) an image(s) of a face of a user, identifying (115) a subset of eyeglasses from a database that satisfy a preliminary fit threshold, determining (120) an eyeglass rim plane of a candidate eyeglass, determining (125) an eyeglass pads plane of the candidate eyeglass, generating (130) at least one 2D profile of a nose of the user, generating (140) at least one 2D profile of a nasal section of a frame of the candidate eyeglass, virtually docking (150) the candidate eyeglass on the nose of the face of the user, calculating (170), when the virtually docked candidate eyeglass satisfies a secondary fit threshold, a final fit of the virtually docked candidate eyeglass, the final fit being defined by at least one of a comfort criterion and/or an aesthetic criterion.