Skin Image Correction Using Distance and Angle Data
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Solution Overview
Problem
Existing electronic devices for skin analysis face challenges in accurately analyzing skin conditions when the user's face is positioned at inappropriate distances or angles, leading to distorted images of pores and wrinkles, which hinders precise skin evaluation.
Innovation Solution
An electronic device equipped with a processor, camera, and distance sensor, including a ToF sensor, that adjusts the image size and brightness based on the distance and angle of the user's face, using correction coefficients and equations to normalize the image, ensuring accurate skin analysis regardless of the user's position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user's face is positioned at inappropriate distances or angles, then the image capture process is simpler and faster, but the skin analysis accuracy deteriorates due to distorted images of pores and wrinkles
Solution Approach 1:
The system performs preliminary actions by capturing distance information and rotation angle data before image analysis, then applies correction coefficients in advance to normalize the image. This preliminary correction of perspective distortion and size variation eliminates the need for complex post-processing, thereby maintaining high skin analysis accuracy without increasing overall system complexity
Solution Approach 2:
The system changes parameters by applying correction coefficients based on detected distance and rotation angle to transform the captured image into a normalized view. This parameter transformation corrects perspective distortion and size variation, enabling accurate skin analysis regardless of the user's positioning, thus resolving the contradiction between measurement precision and device complexity
2Measurement precision
If correction coefficients are applied to normalize image size and brightness, then skin analysis accuracy is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary normalization using correction coefficients based on pre-captured distance and angle data. By applying size and brightness corrections before detailed skin analysis, the system ensures accurate measurements without requiring repeated processing iterations, thereby minimizing additional processing time while maintaining high evaluation accuracy
3Measurement precision
If the system captures images at multiple distances and angles to ensure accuracy, then skin analysis precision is improved, but the operation complexity and time consumption increase
Solution Approach 1:
The system performs self-service by automatically detecting the user's face position, calculating appropriate correction coefficients, and normalizing the image without requiring user intervention. This automated process maintains high analysis precision while keeping the operation simple for the user, as they only need to position their face within the capture area
Solution Approach 2:
The system changes parameters by dynamically calculating correction coefficients based on detected distance and rotation angle, then applying these parameters to normalize the captured image. This automatic parameter adjustment ensures precise skin condition analysis regardless of positioning variations, maintaining both analysis precision and operational simplicity
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
Enables precise skin analysis by correcting image distortions caused by varying distances and angles, providing consistent and accurate skin information as if the user's face were positioned straight ahead, thus improving the reliability of skin evaluation.
Implementation Method 1
The distance sensor may include a time-of-flight (ToF) sensor, and the processor may be further configured to: obtain a three-dimensional (3D) shape of the user's face using the distance sensing data obtained via the ToF sensor
Data Source
AI summary
An electronic device including a display; a distance sensor; a camera; and at least one processor configured to: obtain a two-dimensional (2D) face image of a user via the camera and obtain distance sensing data via the distance sensor; identify a distance between the user and the electronic device, and a rotation angle of a face of the user with respect to the electronic device, using the obtained 2D face image and the obtained distance sensing data; modify at least a part of the 2D face image based on at least one of the identified distance and the identified rotation angle; and provide information about at least the part of the modified 2D face image via the display.