Facial Skin Aging Simulation Using UV Fluorescence Detection
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Solution Overview
Problem
Current methods for simulating skin aging fail to accurately depict an individual's unique aging process, as they rely on population norms and generic models, which do not account for each person's intrinsic and extrinsic factors affecting skin aging.
Innovation Solution
The development of computer-implementable methods to detect and manipulate skin features like hyperpigmented spots, wrinkles, and texture in digital facial images, using UV illumination to detect hidden spots and predict their growth, and employing specific masks for simulating aging and de-aging based on the type of facial features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If population-based aging models are used, then the simulation process is simple and fast, but the accuracy and personalization of aging prediction deteriorates
Solution Approach 1:
The patent segments the aging simulation process into multiple components: detecting individual skin features (hyperpigmented spots, wrinkles, texture), analyzing their current state, and predicting their future development separately. This allows the system to maintain simplicity while improving accuracy by treating different aging manifestations independently based on personalized data.
Solution Approach 2:
The patent applies local quality by detecting and analyzing specific skin features in different facial regions individually. Each skin feature type (spots, wrinkles, texture) is assessed with specialized algorithms tailored to its characteristics, enabling personalized aging prediction that accounts for individual skin conditions rather than applying generic population norms.
2Measurement precision
If UV illumination is used to detect hidden spots, then the detection precision of skin features improves, but the device complexity and cost increases
Solution Approach 1:
The patent uses UV illumination as an intermediary to reveal hidden skin features that are not visible under normal lighting. The UV light acts as a mediator that excites fluorescent substances in hyperpigmented spots, making them detectable. This approach significantly improves detection accuracy while adding only a single illumination source to the imaging system.
Solution Approach 2:
The patent exploits the fluorescent properties of skin pigments that emit visible light when excited by UV radiation. Hyperpigmented spots exhibit enhanced fluorescence under UV illumination, creating a detectable signal that distinguishes them from normal skin. This optical property-based detection method improves precision without requiring complex analytical equipment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
These methods enable a more accurate simulation of individual skin aging by detecting and manipulating specific skin features, allowing for personalized predictions of aging and de-aging effects, improving realism and accuracy over existing population-based models.
Implementation Method 1
UV-excited fluorescence photography... involves imaging the skin under narrow-band UVA centered at 365 nm... collagen and elastin fibers which convert some of the absorbed energy to fluorescence. The wavelength of maximum collagen emission occurs in the visible spectrum, centered at 420 nm.
Implementation Method 2
Epidermal melanin absorbs strongly in this UVA range, approximately 3-5 times its absorption in the visible spectrum... the total amount of UVA that enters the skin and reaches the dermis is attenuated by epidermal melanin approximately 5-fold
Data Source
AI summary
A novel method and system is disclosed to realistically simulate the progress or worsening of facial skin features that contribute to the overall look and condition of the skin. The method utilizes two close-up photographs of the face, one is captured with a digital camera in standard white light, and the other is captured with the same camera in UV light. Then, the method processes these images to simulate the progress or worsening of the major skin features: hyperpigmented spots, wrinkles and small texture features. The worsening of these features simulates facial skin aging due to prolonged exposures to sunlight, biological aging or degradation of the skin health. The progress of these features simulates the improvement of facial skin in terms of overall look and healthiness as though the patient has gone through a treatment. Therefore, the present invention discloses a series of methods that are useful in dermatology, cosmetics and computer animations.