3D Scanning System Adaptive Lighting for Skin Tone Accuracy
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Solution Overview
Problem
Conventional structured-light scanning systems produce inaccurate 3D images, particularly for facial scanning, due to the varying reflectance and absorption properties of human skin, which are influenced by skin tone, leading to suboptimal scan quality.
Innovation Solution
A system and method that utilize an RGB camera to detect skin tone and adjust the intensity or wavelength of projected structured light and environmental lighting to optimize 3D image capture, providing instructions to improve scan quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional structured-light scanning systems use fixed lighting parameters, then the system structure is simple, but the scan accuracy deteriorates for different skin tones
Solution Approach 1:
The patent implements dynamic adjustment of lighting parameters (intensity and wavelength) based on detected skin tone characteristics. The system transitions from fixed lighting to adaptive lighting that changes in real-time according to the subject's skin properties, thereby improving scan accuracy across different skin tones without requiring multiple dedicated lighting systems
Solution Approach 2:
The patent changes the parameters of the structured light (intensity and wavelength) according to the detected skin tone. By adjusting these parameters dynamically, the system optimizes the contrast and reflectance properties for different skin types, resolving the contradiction between maintaining simple system structure and achieving high measurement precision across diverse subjects
2Measurement precision
If the intensity of projected light is increased to improve scan quality, then scan accuracy improves, but the system becomes less adaptable to different skin tones
Solution Approach 1:
Instead of using fixed high intensity for all subjects, the patent adjusts the intensity parameter of the projected light based on the detected skin tone. This allows the system to optimize scan quality for each individual subject by matching the light intensity to their specific skin reflectance properties
Solution Approach 2:
The system dynamically adjusts lighting intensity rather than using a static high-intensity setting. This dynamic adaptation enables the system to maintain high scan quality across different skin tones by optimizing the intensity level for each subject's specific characteristics
3Measurement precision
If the system uses single wavelength light, then the device complexity is low, but the scan accuracy for various skin tones deteriorates
Solution Approach 1:
The patent changes the wavelength parameter of the projected light based on skin tone detection. By selecting appropriate wavelengths that optimize contrast and reflectance for different skin types, the system improves measurement precision without requiring a complex multi-wavelength light source for all subjects simultaneously
Solution Approach 2:
The system dynamically adjusts the wavelength of the structured light according to the subject's skin tone characteristics. This dynamic parameter adjustment allows a single adjustable light source to replace multiple fixed-wavelength sources, improving scan accuracy across different skin tones while maintaining relatively simple device architecture
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
The system significantly enhances the accuracy of 3D image capture by adapting lighting conditions based on skin tone, resulting in improved scan quality for both dark and light-skinned subjects by adjusting the light intensity and wavelength.
Implementation Method 1
one or more cameras detect geometric distortions of the reflected pattern
Implementation Method 2
varying reflectance and absorption properties of human skin, which are influenced by skin tone
Data Source
AI summary
A system for capturing a 3D image of a subject includes a detection device which is structured to capture images of the subject and surrounding environment, a projection device which is structured to provide a source of structured light, and a processing unit in communication with the detection device and the projection device. The processing unit is programmed to: analyze an image of the subject captured by the detection device; modify one or more of: the output of the projection device or the intensity of a source of environmental lighting illuminating the subject based on the analysis of the image; and capture a 3D image of the subject with the detection device and the projection device using the modified one or more of the output of the projection device or the intensity of the source of environmental lighting illuminating the subject.