3D Hand Texture Synthesis for Facial Skin Tone Consistency
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Solution Overview
Problem
Existing 3D representation techniques fail to provide a uniform hand texture that is consistent with facial skin tones and accurate for both the palm and back side of a hand, leading to inconsistencies and potential privacy issues due to inadequate handling of lighting conditions and missing data.
Innovation Solution
The method involves determining a hand texture by analyzing both facial and hand data, using sample hand textures to ensure consistency with facial skin tones and accuracy, while also preserving privacy by removing identifying features and compensating for missing data through statistical processes like PCA or VAE, and mapping pixel values to a 3D hand mesh for accurate representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing 3D representation techniques are used, then viewing of user representations is enabled, but uniform texture consistency between face and hand is not achieved
Solution Approach 1:
The patent segments the skin tone extraction process by separately analyzing facial skin tones and hand skin tones, then using these segmented measurements to guide the synthesis of hand textures that match the user's facial features. This segmentation allows for precise control over texture consistency across different body parts.
Solution Approach 2:
The patent introduces an intermediary synthesis process that takes facial skin tone measurements and sample hand textures as inputs, then generates a synthesized hand texture that acts as a mediator between the user's actual hand (which may be occluded or poorly lit) and the final 3D representation. This intermediary ensures uniform texture consistency.
2Productivity
If hand enrollment data is collected under varying lighting conditions, then data collection is enabled, but accurate skin tone determination is compromised
Solution Approach 1:
The patent performs preliminary skin tone measurement and extraction during the enrollment process, storing these reference values for later use. By capturing skin tone information in advance under various lighting conditions and processing it through the synthesis system, the patent enables accurate skin tone determination even when actual hand data is unavailable or poorly captured.
Solution Approach 2:
The patent creates a synthesized copy of hand texture that replicates the user's skin tone characteristics based on facial measurements and sample data. This copied texture serves as a reliable representation that compensates for inaccurate or missing actual hand data, maintaining measurement precision without requiring perfect enrollment conditions.
3Adaptability or versatility
If actual hand data is used for 3D representation, then personalization is achieved, but privacy concerns arise due to identifying features
Solution Approach 1:
The patent extracts only the essential skin tone and texture characteristics from actual hand data and facial data, separating these personalization parameters from identifying features such as scars, tattoos, and fingerprint patterns. By taking out only the necessary appearance attributes, the system achieves personalization while eliminating privacy risks associated with storing complete hand images.
Solution Approach 2:
The patent uses sample hand textures from public datasets as disposable proxies for actual user hand data. These sample textures are processed and synthesized to create personalized appearance without storing or retaining the original identifying information. The synthesized textures serve as temporary, privacy-preserving representations that capture personalization needs without creating long-term privacy vulnerabilities.
4Reliability
If sample hand textures are used, then privacy is preserved and efficiency is improved, but accuracy with respect to actual hand skin tone may be reduced
Solution Approach 1:
The patent applies local quality by using sample hand textures as a base but then customizing them through synthesis guided by the user's actual facial skin tone measurements. The sample textures provide a realistic hand structure and texture pattern, while the synthesis process adjusts the skin tone characteristics to match the user's specific appearance, ensuring both privacy protection and accuracy.
Solution Approach 2:
The patent changes the skin tone parameters of sample hand textures through a synthesis process that adjusts color, brightness, and texture properties to match the user's facial skin tone measurements. By modifying these parameters, the system transforms generic sample data into accurate personalized representations without compromising privacy, as the changes are guided by measured parameters rather than using actual hand images.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that provide a matching skin tone between the hands and the face of a three-dimensional (3D) user representation. For example, a process may obtain at least two skin tones corresponding to colors representing at least two different portions of a hand of a user. In response, a hand texture representing a spatial arrangement of color representing an appearance of the hand is determined. The hand texture may be determined based on the at least two skin tones and hand texture sample data. The process may further include determining a hand structure associated with physical attributes of the hand and the hand structure and the hand texture may be provided for use in generating a 3D representation of the hand.