Mobile Device Scaling for Virtual Try-On Accuracy
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Solution Overview
Problem
Current technologies lack an effective method for accurately scaling 2D and 3D models of users to enable proper alignment and virtual try-on of products, such as glasses, across different scales.
Innovation Solution
A computer-implemented method and system that uses a mobile device to capture images of a user aligning with generated lines on a display, determining pixel density, and calculating distances to scale 3D models of users and objects to a common scale, allowing for accurate virtual try-on of products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D models are scaled without accurate reference measurements, then the scaling process is simpler and faster, but the precision and accuracy of the scaled models deteriorate
Solution Approach 1:
The patent introduces reference objects with known dimensions as intermediaries between the camera and the user. These reference objects serve as mediators that provide accurate scale information, enabling precise 3D model scaling without requiring complex calibration equipment. The reference objects bridge the gap between simple imaging and accurate measurement.
Solution Approach 2:
The system uses the user's own body features (such as the distance between eyes or other anatomical landmarks) as self-generated reference measurements. The user effectively serves themselves by providing the scaling reference through their own physiology, eliminating the need for external measurement tools or complex calibration procedures.
2Measurement precision
If multiple reference points and correction values are used for scaling, then the measurement precision improves, but the time required for the scaling process increases
Solution Approach 1:
The system performs preliminary actions by capturing multiple images at different known distances before final scaling. These preliminary images are used to calculate correction values in advance, which are then applied to subsequent measurements. This preliminary calibration reduces the time needed for actual scaling operations.
Solution Approach 2:
The system uses feedback from multiple captured images to calculate correction values that improve measurement accuracy. By analyzing discrepancies between expected and actual measurements in preliminary images, the system generates feedback correction factors that are applied to refine the scaling of 3D models, ensuring higher precision.
3Manufacturing precision
If accurate scaling is achieved through multiple images and correction calculations, then the manufacturing precision of virtual try-on results improves, but the complexity of the process increases
Solution Approach 1:
The system creates multiple copies of the user's image at different scales and perspectives. By generating these image copies and comparing them, the system can calculate accurate scaling factors without requiring complex physical measurement equipment. The copies serve as virtual references for precise 3D model creation.
Data Source
AI summary
A computer-implemented method for scaling an object is described. Two or more lines are generated on a display of the mobile device. The user is imaged with a camera of the mobile device. The image of the user is displayed on the display of the mobile device. Upon determining the feature of the user aligns with the first of the two or more lines on the display of the mobile device, an image of the user is captured. A number of pixels per unit of distance are determined based at least in part on a number of pixels between a predetermined point on the captured image and the feature of the user, and a predetermined distance between a camera of the mobile device and the first of the two or more lines on the display.