False Eyelash Search Using 3D Eye Landmark Relationships
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Solution Overview
Problem
Conventional systems struggle to provide personalized and accurate search parameters for false eyelashes based on individual facial features, and lack augmented reality environments for visualizing beauty products on users' faces.
Innovation Solution
Utilizing image processing techniques to convert 2D images of a user's face to 3D models, determining relationships between facial features, and using these relationships to identify suitable false eyelashes and generate augmented reality environments for visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D images are used to represent facial features, then the system is simpler and easier to process, but the accuracy and precision of facial feature measurement and relationship determination is insufficient
Solution Approach 1:
The patent transforms 2D facial images into 3D facial models through image processing techniques. This dimensional transition enables accurate measurement of facial feature relationships (such as distance between eye landmarks and eyebrow landmarks) while maintaining system feasibility through automated processing pipelines.
2Measurement precision
If conventional search methods are used for false eyelashes, then the search process is simple, but the personalization and accuracy of search parameters based on individual facial features is insufficient
Solution Approach 1:
The system automatically extracts facial feature relationships from 3D models and generates personalized search parameters without requiring manual user input. The process self-determines appropriate false eyelash characteristics (such as length, thickness, and style) based on the user's unique facial geometry, eliminating the need for complex manual configuration while achieving high personalization accuracy.
3Measurement precision
If no augmented reality visualization is provided, then the system is simpler, but the ability to accurately visualize beauty products on users' faces is lacking
Solution Approach 1:
The system creates a digital 3D copy of the user's face from 2D images and uses this virtual replica for augmented reality visualization. This allows accurate rendering of false eyelashes on the user's facial features without requiring physical trial application, achieving high visualization accuracy while managing system complexity through virtual modeling techniques.
Data Source
AI summary
Two-dimensional (2D) image data corresponding to a 2D image of an eye area of a subject is received. Three-dimensional (3D) data representing the eye area of the subject is identified based on the 2D image data. A first landmark representing a first facial feature of the eye area, a second landmark representing a second facial feature of the eye area, and a relationship between the first landmark and the second landmark is determined based on the 3D data representing the eye area of the subject. A subset of the plurality of false eyelashes comprising a subset of a plurality of artificial lash extensions designed for application at an underside of natural eyelashes of the subject are identified, among a plurality of false eyelashes, based on the relationship between the first landmark and the second landmark.