Parametric Eyebrow Modeling From Images for Accurate Avatar Likeness
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Solution Overview
Problem
Conventional methods for designing lifelike virtual avatars face challenges in providing a suitable range of eyebrow styles that accurately resemble a user's real-world eyebrows, often leading to limited customization options or overwhelming selection processes.
Innovation Solution
A parametric eyebrow representation system utilizing neural networks to process and reconstruct user-specific eyebrow models from image input, involving a strand encoder, style encoder, and decoder to generate and apply user-specific eyebrow models to virtual avatars.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If premade visual features are provided for avatar customization, then the avatar design process becomes simpler and faster, but the ability to accurately capture user likeness is limited
Solution Approach 1:
The patent uses image copying technology to directly transfer the user's real eyebrow appearance from input images into the virtual avatar model. Instead of relying on premade visual features that require manual selection, the system automatically copies and reconstructs the user's eyebrow characteristics (shape, color, thickness, texture) from photographs, achieving both high likeness accuracy and automated processing speed.
2Measurement precision
If numerous design choices are offered for avatar customization, then the ability to capture user likeness improves, but the design process becomes time-consuming and overwhelming
Solution Approach 1:
The system performs automated eyebrow reconstruction and parameter extraction from user-submitted images without requiring manual adjustment of numerous design parameters. The neural network automatically analyzes the input images, extracts eyebrow characteristics, and applies them to the avatar model, eliminating the need for users to spend time navigating through multiple customization options while maintaining high likeness accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of selecting and adjusting numerous eyebrow design parameters with an automated image processing system using neural networks. The system automatically extracts eyebrow features from photographs and applies them to the virtual avatar, substituting user interaction with algorithmic processing to reduce time consumption while preserving detailed likeness accuracy.
3Ease of operation
If limited premade visual features are provided, then the customization process is simpler and faster, but the selection of accurate eyebrow styles is restricted
Solution Approach 1:
Instead of providing a limited set of premade eyebrow styles for selection, the system copies the user's actual eyebrow appearance from input images and reconstructs it in the virtual avatar. This approach maintains customization simplicity by automating the process while achieving infinite adaptability, as the system can reproduce any eyebrow style the user possesses rather than being constrained to pre-defined options.
Data Source
AI summary
A system for facilitating eyebrow style representation is configurable to access a set of eyebrow models that each include a set of eyebrow strands and to generate a set of eyebrow style maps by processing the set of eyebrow strands of a respective eyebrow model using a strand encoder that is configured to reduce 3D eyebrow strand input to latent eyebrow strand representation output. The system is further configurable to train an eyebrow style neural network using the set of eyebrow style maps as training data. Training the eyebrow style neural network provides (i) an eyebrow style encoder configured to reduce eyebrow style map input to latent eyebrow style representation output, (ii) a set of latent eyebrow style representations based on the set of eyebrow style maps, and (iii) an eyebrow style decoder configured to reconstruct eyebrow style map output from latent eyebrow style representation input.