Virtual Glasses Frame Fitting via 3D Head Modeling
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Solution Overview
Problem
The current process of selecting glasses frames is inefficient, requiring individuals to physically try on multiple frames in stores without prior knowledge of fit, as not all frames fit every head size, and involves both functional and aesthetic considerations.
Innovation Solution
A method and system that uses image and video capture to create a 3D model of a user's head, comparing it to a database of glasses frames to select the best fit, including a penalty function for evaluating fit and displaying potential frames for visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a person physically visits an optometrist or eyewear store to try on glasses frames, then they can assess fit and aesthetics, but they must spend several hours browsing and trying on multiple frames without prior knowledge of fit
Solution Approach 1:
The system performs preliminary actions by capturing images of the user's head and conducting virtual fitting assessments before the user visits the store. The processor compares the user's head dimensions with frame specifications to pre-determine which frames are likely to fit, allowing the user to arrive at the store with a narrowed-down selection rather than browsing through all available frames.
Solution Approach 2:
The system creates a digital copy or representation of the user's head dimensions and features through image capture and processing. This digital model is then used to virtually try on different frame types and assess fit accuracy, providing a copy-based evaluation that eliminates the need for physical trial of each frame.
2Productivity
If glasses frames are designed to fit most people, then mass production is efficient, but not all heads are the same size and therefore not all glasses will fit a person
Solution Approach 1:
The system applies local quality by analyzing specific dimensional characteristics of the user's head (such as head width, crown height, and circumference) and matching them with corresponding frame specifications. Rather than treating all frames as universally suitable, the system evaluates each frame's specific dimensions against the user's specific measurements to determine local compatibility.
Solution Approach 2:
The system utilizes parameter changes by varying the frame selection based on multiple measured parameters of the user's head. The processor compares different parameters (head size, shape characteristics, facial features) with frame specifications to adjust and optimize the fit, allowing the same frame design to be evaluated for compatibility across different parameter ranges.
3Reliability
If users must try on multiple frames in person to assess both fit and aesthetics, then comprehensive evaluation is possible, but the selection process becomes inefficient and time-consuming
Solution Approach 1:
The system performs preliminary virtual fitting assessments to pre-evaluate both fit and aesthetic compatibility before the user visits the store. By conducting this comprehensive evaluation in advance using image processing and comparison algorithms, the system narrows down the selection to only those frames that are likely to satisfy both fit requirements and aesthetic preferences.
Solution Approach 2:
The system introduces an intermediary digital evaluation process between the user and the physical frames. The processor acts as a mediator by comparing image-derived head measurements with frame specifications and generating a recommended selection, thereby eliminating the need for the user to physically try on each frame while still ensuring comprehensive evaluation of fit and aesthetics.
Data Source
AI summary
Processing a set of images is disclosed, including: determining a set of user head measurements from a set of images; and determining a fit score corresponding to a glasses frames based at least in part on comparing the set of user head measurements to glasses frame measurements associated with the glasses frames.