Personalized Camera Calibration for Diverse Skin Tones
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Solution Overview
Problem
Current cameras are not designed to account for and optimize pictures and videos for all skin tones, particularly in varying lighting conditions, leading to inadequate image capture for users with darker skin tones.
Innovation Solution
A camera personalization interface is displayed on a client device to receive setting selections based on a user's skin tone or undertone, allowing for pre-capture and post-processing settings to be determined and applied, ensuring high-quality images are produced for all users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cameras are designed to capture images based on lightness calibration, then image capture works for light skin tones, but image quality deteriorates for darker skin tones in low light conditions
Solution Approach 1:
The patent applies parameter changes by allowing users to select their skin tone category (light, medium, dark) and manually adjusting camera parameters including exposure compensation, ISO sensitivity, and white balance settings. This enables the camera to optimize its capture parameters for different skin tone ranges, resolving the contradiction between reliable image capture and adaptability to diverse skin tones.
Solution Approach 2:
The system dynamically adapts camera settings based on user input about their skin tone. The camera transitions from a static, fixed calibration system to a dynamic one that adjusts exposure, ISO, and white balance parameters in real-time based on the user's skin tone selection, thereby improving both capture reliability and skin tone adaptability.
2Measurement precision
If cameras use automatic light seeking calibration, then focus accuracy improves in well-lit conditions, but the camera becomes inactive or focuses incorrectly in low light without lightened subjects
Solution Approach 1:
The patent implements preliminary action by having users perform a setup process where they select their skin tone category before actual image capture. This preliminary configuration allows the camera to pre-adjust calibration parameters, exposure settings, and focus expectations, ensuring accurate focus and active operation even in low light conditions where automatic light-seeking would otherwise fail.
3Measurement precision
If facial tracking technology is used for recognition, then identification accuracy improves for light skin tones, but recognition fails for darker skin tones in certain lighting conditions
Solution Approach 1:
The patent applies parameter changes by adjusting facial recognition algorithm parameters and sensitivity thresholds based on the user's selected skin tone category. This allows the recognition system to optimize its detection sensitivity and color thresholds for different skin tone ranges, thereby improving both accuracy and adaptability across diverse skin tones.
Data Source
AI summary
Method of generating modified media content item based on user's setting selection starts with a processor causing a camera personalization interface to be displayed by a display of a client device. The processor receives a setting selection from the client device via the camera personalization interface. The processor determines a pre-capture setting and a post-processing setting based on the setting selection. The processor calibrates a camera of the client device using the pre-capture setting. The processor receives a media content item including an image captured using the camera and generates a modified media content item by modifying the media content item using the post-processing setting. Other embodiments are described herein.