Virtual Ring Try-On Using Finger Image Warping
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Solution Overview
Problem
Consumers lack an effective way to evaluate the appearance of rings on their fingers in a realistic manner when considering different options.
Innovation Solution
A system and method using image warping technology to apply virtual rings on a user's finger based on finger attributes, including identifying a target region, determining coordinates and orientation, and generating a displacement table to simulate the ring's placement, thereby creating a realistic depiction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing virtual try-on methods are used, then the process is simple and fast, but the realism and accuracy of the ring appearance evaluation is poor
Solution Approach 1:
The finger is segmented into multiple regions (proximal, middle, distal phalanges) with different curvature characteristics. Each region is processed independently using region-specific warping parameters, allowing realistic deformation while maintaining overall finger structure integrity.
Solution Approach 2:
Different warping parameters are applied to different regions of the finger based on their anatomical characteristics. The proximal, middle, and distal phalanges each receive customized displacement transformations that reflect their specific curvature and flexibility properties, achieving localized realism.
2Measurement precision
If image warping with displacement tables is applied, then the realism of the modified finger is improved, but the computational complexity and processing time increase
Solution Approach 1:
Displacement tables are pre-computed and stored for each finger region based on typical curvature patterns. During virtual try-on, these pre-computed tables are directly applied through lookup operations rather than computing transformations in real-time, significantly accelerating processing while maintaining accuracy.
Solution Approach 2:
The system uses discrete parameter sets corresponding to different finger types (thickness, curvature, length). By selecting pre-computed displacement tables based on detected finger parameters, the system avoids complex real-time optimization while achieving accurate shape modification.
Data Source
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AI summary
A computing device obtains an image depicting a hand and determines attributes of a finger on the hand in the image. The computing device generates a displacement table comprising locations of pixels for the finger based on the attributes and applies the displacement table to generate a modified finger. The computing device performs virtual application of a ring on the modified finger.