17918518. EYE BAG DETECTION METHOD AND APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
Contents
EYE BAG DETECTION METHOD AND APPARATUS
Organization Name
Inventor(s)
EYE BAG DETECTION METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17918518 titled 'EYE BAG DETECTION METHOD AND APPARATUS
Simplified Explanation
The application provides a method and apparatus for detecting eye bags using facial recognition technology.
- The method involves obtaining an image with an eye bag region of interest (ROI).
- A convolutional neural network model is used to detect the eye bag ROI and provide a detection score and position information.
- If the detection score falls within a preset range, the image is annotated with the eye bag detection score and position information to obtain eye bag annotation information.
- This technology accurately recognizes the position and score of an eye bag, improving the accuracy of eye bag recognition.
Potential Applications
This technology can have various applications in the field of facial recognition and image analysis, including:
- Beauty and cosmetics industry: Eye bag detection can be used to develop targeted skincare products and treatments.
- Healthcare: Eye bags can be an indicator of certain health conditions, and this technology can assist in early detection and monitoring.
- Aging research: Eye bags are a common sign of aging, and this technology can be used to analyze and study the aging process.
Problems Solved
The technology solves the problem of accurately detecting and recognizing eye bags in facial images.
- Traditional methods may not accurately identify eye bags, leading to inaccurate analysis and diagnosis.
- Manual annotation of eye bags is time-consuming and subjective, whereas this technology provides automated and objective detection.
Benefits
The use of this technology offers several benefits:
- Improved accuracy: The method accurately recognizes the position and score of eye bags, enhancing the precision of analysis and diagnosis.
- Time-saving: The automated detection process eliminates the need for manual annotation, saving time and effort.
- Objective analysis: The technology provides objective eye bag detection, reducing subjective biases in analysis and diagnosis.
Original Abstract Submitted
This application provides an eye bag detection method and apparatus, and relates to the field of facial recognition technologies. The method includes: obtaining a to-be-detected image, where the to-be-detected image includes an eye bag region of interest ROI; detecting the eye bag ROI by using a preset convolutional neural network model, to obtain an eye bag detection score and eye bag position detection information; and when the eye bag detection score is within a preset score range, annotating the to-be-detected image based on the eye bag detection score and the eye bag position detection information to obtain eye bag annotation information. According to the technical solutions provided in this application, a position and a score of an eye bag can be accurately recognized. In this way, accuracy of recognizing the eye bag is significantly improved.
