Ethnic Aging Model for Face Shape Color Texture Simulation
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Solution Overview
Problem
Current age prediction and progression technologies lack the ability to accurately account for ethnic-dependent changes in face shape, color, and texture, failing to provide realistic and customized simulations of aging or de-aging processes.
Innovation Solution
The development of statistical ethnic models for face shape, color, and texture that use ethnicity, age, and gender inputs to create altered images simulating desired ages, incorporating landmark changes, texture modifications, and color adjustments based on ethnic-specific data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional age prediction and progression technologies are used, then basic aging simulation can be achieved, but ethnic-dependent changes in face shape, color, and texture cannot be accurately accounted for
Solution Approach 1:
The patent applies local quality by creating ethnicity-specific aging models that tailor the aging simulation to the individual's ethnic background. The system determines the user's ethnicity and applies ethnic-dependent parameters for face shape, color, and texture changes, making the aging simulation locally adapted to specific ethnic characteristics rather than using a universal aging model.
Solution Approach 2:
The patent implements parameter changes by modifying the aging simulation parameters based on ethnicity. The system adjusts face shape, color, and texture parameters according to ethnic-specific aging patterns, allowing the same aging process to produce different results for different ethnic groups, thereby improving both accuracy and adaptability.
2Adaptability or versatility
If generic aging models are used, then the aging process can be simulated, but realistic and customized simulations of aging or de-aging processes cannot be provided
Solution Approach 1:
The system enhances customization by determining the user's ethnicity and applying ethnic-specific aging models. This local adaptation ensures that the aging simulation is tailored to the individual's ethnic characteristics, providing both customization and realism simultaneously through ethnicity-dependent parameters for face shape, color, and texture.
Solution Approach 2:
The system performs preliminary action by determining the user's ethnicity before applying the aging model. This preliminary determination allows the system to select and configure the appropriate ethnic-specific aging parameters in advance, ensuring that the subsequent aging simulation is both customized to the individual and realistic in its representation of ethnic-dependent aging patterns.
Data Source
AI summary
Methods and systems for age appearance simulation of a patient are provided. At least one embodiment of a method includes receiving an image of the patient (including a face of the patient), determining an ethnicity of the patient, determining an age of the patient, and determining a desired simulated age of the patient. An altered image to represent the desired simulated age of the patient may then be created, where altering the image includes utilizing a statistical ethnic aging model to alter at least one of a shape, a color, and a texture of the face. The altered image may be provided for display to the patient.