WO2024037287A1 - Procédé et dispositif d'évaluation de la peau du visage - Google Patents

Procédé et dispositif d'évaluation de la peau du visage Download PDF

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Publication number
WO2024037287A1
WO2024037287A1 PCT/CN2023/108738 CN2023108738W WO2024037287A1 WO 2024037287 A1 WO2024037287 A1 WO 2024037287A1 CN 2023108738 W CN2023108738 W CN 2023108738W WO 2024037287 A1 WO2024037287 A1 WO 2024037287A1
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WIPO (PCT)
Prior art keywords
image
image acquisition
acquisition component
facial
skin
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PCT/CN2023/108738
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English (en)
Chinese (zh)
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WO2024037287A9 (fr
Inventor
孙建美
靳晨英
刘汀科
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厦门松霖科技股份有限公司
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Publication of WO2024037287A1 publication Critical patent/WO2024037287A1/fr
Publication of WO2024037287A9 publication Critical patent/WO2024037287A9/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons

Definitions

  • the present disclosure relates to the technical field of skin detection, in particular to a facial skin detection method and detection device.
  • the second image acquisition component configured in the existing beauty mirror on the market is basically handheld and can only perform partial detection.
  • the user can freely select a position on the forehead, cheeks, nose, and chin for detection. Since the user is concerned about the health of the entire face. It is not very clear, so when collecting images, users randomly select areas for image collection, or select areas with possible skin problems for image collection based on their own feelings. On the one hand, this results in longer image collection time, and on the other hand, it may It is impossible to collect real problematic skin images, and the final analyzed facial skin data cannot reflect the true health status of facial skin, resulting in skin problems that cannot be dealt with in a timely manner.
  • the main purpose of the present disclosure is to propose a facial skin detection method and detection device, which overcome the shortcomings of the existing technology.
  • a second image acquisition component such as a skin measuring pen
  • a second image acquisition component is used to collect partial and detailed images of the area where the skin problem is located to obtain the severity and/or score of the identified area in the corresponding dimension of the skin problem, thereby allowing the user to evaluate the face.
  • a second image acquisition component such as a skin measuring pen
  • a facial skin detection method includes:
  • controlling the first image acquisition component to acquire a full face image specifically includes:
  • the white light is controlled to be turned on to take a full-face photo to collect a full-face image.
  • skin problems are identified and regional identification is performed based on the full face image, specifically including:
  • the second image acquisition component it is prompted to use the second image acquisition component to collect a local image of the identified area where the skin problem is located, specifically including:
  • the second image acquisition component It is prompted to use the second image acquisition component to collect preset partial images of the marked area where each skin problem is located under natural light, UV light or polarized light; the preset image is greater than 1 image.
  • the second image acquisition component is used to collect preset partial images of the identified areas where each skin problem is located under natural light, UV light or polarized light, specifically including:
  • step S501 prompt the user to use the second image acquisition component to collect an image of the marked area where a certain skin problem is located under natural light, UV light or polarized light, and determine whether the captured image is clear. If not, repeat step S501; if If clear, proceed to step S502;
  • step S502 prompt the user to take the next image of the identified area under the same light source or a different light source; and repeat step S501;
  • S504 Repeat S501 to S503 until all preset partial images are collected in all marked areas with skin problems.
  • the method before controlling the first image acquisition component to acquire the full face image, the method further includes:
  • the control enters the step of acquiring the full face image by the first image acquisition component; if it is enabled, it is prompted to use the second image acquisition component to collect partial images of each divided facial area. Based on the acquisition The partial image is used to obtain the severity and/or score of each facial area in the corresponding dimension of the skin problem.
  • the prompt uses the second image acquisition component to collect partial images of each divided facial area, specifically including:
  • the second image acquisition component It is prompted to use the second image acquisition component to collect a preset partial image of each divided facial area under natural light, UV light or polarized light; the preset image is greater than 1.
  • the prompt uses the second image acquisition component to collect preset partial images of each divided facial area under natural light, UV light or polarized light, specifically including:
  • step S801. Prompt the user to use the second image acquisition component to collect an image of a divided facial area under natural light, UV light or polarized light, and determine whether the captured image is clear. If it is not clear, repeat step S801; if it is clear, Then enter step S802;
  • S802 prompt the user to take the next image of the facial area under the same light source or different light sources; and repeat the steps. S801;
  • S804 Repeat S801 to S803 until all divided facial areas have collected preset partial images.
  • the facial areas include: forehead, left cheek, right cheek, nose, and chin.
  • the skin problem includes: at least one of texture, pores, acne, sensitivity, stains, blackheads, or oil; each skin problem corresponds to one dimension.
  • the severity includes severe, moderate, or mild.
  • the score is obtained based on severity and corresponding confidence, as follows:
  • x represents the confidence level
  • f(x) represents the score
  • a facial skin detection device includes a first image acquisition component, a beauty mirror and a second image acquisition component; the beauty mirror, the first image acquisition component and the second image acquisition component respectively perform Data interaction; the first image acquisition component and the cosmetic mirror are provided separately, or the first image acquisition component is provided on the cosmetic mirror; the cosmetic mirror is used to perform the facial skin detection Method steps.
  • a facial skin detection device includes a first image acquisition component, a beauty mirror, a second image acquisition component and an external terminal device; the beauty mirror, the first image acquisition component, the second image acquisition component, and the external terminal device.
  • the collection component and the external terminal device perform data interaction respectively; the first image collection component and the beauty mirror are set separately, or the first image collection component is set on the beauty mirror; the external terminal device is To perform the steps of the facial skin detection method.
  • an electronic device includes:
  • the processor is configured to execute any of the above facial skin detection methods by executing the executable instructions.
  • a computer-readable storage medium has a computer program stored thereon, and when the computer program is executed by a processor, the facial skin detection method described in any one of the above is implemented.
  • a computer program product includes a computer program that implements any of the above facial skin detection methods when executed by a processor.
  • This disclosure first quickly identifies healthy and weak areas of facial skin, that is, skin problems, by collecting full-face images.
  • the area is marked and marked, allowing the user to have a preliminary macro understanding of the entire face; and then a second image acquisition component (such as a skin measuring pen) is used to collect local and detailed images of the identified skin problem area with magnification, and the location of the marked area is obtained.
  • a second image acquisition component such as a skin measuring pen
  • the severity and/or score of skin problems correspond to dimensions, allowing users to have a more accurate and comprehensive understanding of facial skin health
  • the present disclosure can automatically search for the presence of the second image collection component WIFI hotspot, etc. to determine whether the second image collection component is turned on. If it is not turned on, full face image collection and analysis can be performed first, and then the user can be guided to turn on the second image collection.
  • the component collects and analyzes local images of areas with skin problems; if the second image collection component is turned on, the user can be prompted to perform full-face image detection first. If the user does not turn off the second image collection component, it means that the user does not want to perform full-face image detection. For collection and detection, it directly collects and detects partial images of the area selected by the user, or guides the user to sequentially collect and detect images of the forehead, left cheek, right cheek, nose and chin areas to meet the user's multi-faceted needs.
  • Figure 1 is a method flow chart of the facial skin detection method according to Embodiment 1 of the present disclosure
  • Figure 2 is a schematic diagram of skin problems identified based on full face images according to Embodiment 1 of the present disclosure
  • Figure 3 is a detailed detection flow chart when the second image acquisition component is not turned on according to Embodiment 1 of the present disclosure
  • Figure 4 is a detailed detection flow chart when the second image acquisition component is turned on according to Embodiment 1 of the present disclosure
  • Figure 5 is a structural block diagram of a facial skin detection device according to Embodiment 2 of the present disclosure.
  • Figure 6 is a front view of the facial skin detection device according to Embodiment 2 of the present disclosure.
  • Figure 7 is a cross-sectional view of the facial skin detection device according to Embodiment 2 of the present disclosure.
  • Figure 8 is a second cross-sectional view of the facial skin detection device according to Embodiment 2 of the present disclosure.
  • Figure 9 is a structural block diagram of a facial skin detection device according to Embodiment 3 of the present disclosure.
  • connection can be a fixed connection, a detachable connection, or an integral connection. It can be a mechanical connection or an electrical connection. It can be a direct connection or an indirect connection through an intermediate medium. It can be internal to two components.
  • Connection can be a fixed connection, a detachable connection, or an integral connection. It can be a mechanical connection or an electrical connection. It can be a direct connection or an indirect connection through an intermediate medium. It can be internal to two components.
  • step identifiers S101, S102, S103, etc. are only for convenience of expression and do not indicate the execution order, and the corresponding execution order can be adjusted.
  • a facial skin detection method includes:
  • S103 Use the second image acquisition component to collect a partial image of the marked area where the skin problem is located, and obtain the severity and/or score of the marked area in the corresponding dimension of the skin problem based on the collected local image.
  • the facial skin detection method can be implemented through a control mainboard installed in the beauty mirror.
  • the control mainboard includes an MCU controller, etc., and is connected to the first image acquisition component and the second image acquisition component. for data interaction.
  • the facial skin detection method can be implemented in an external terminal.
  • the external terminal includes an actuator, etc., and is connected to the first image acquisition component and the second image acquisition component for data interaction.
  • the method of controlling the collection of full-face images and prompting for the collection of partial images can also be implemented in a beauty mirror.
  • the identification and identification of skin problems based on the full-face image can be implemented on an external terminal device, and the identification can be obtained based on the collected partial images.
  • the severity and/or score of the area on the corresponding dimension of the skin problem is implemented by a second image acquisition component or an external terminal device, and each device is connected to each other for data interaction.
  • the specific implementation method can be laid out as needed, and this disclosure does not limit it.
  • This disclosure first collects full-face images to quickly identify healthy weak areas of facial skin, that is, areas with skin problems, and identifies the areas, allowing users to have a preliminary macroscopic understanding of the entire face; and then uses the second image acquisition component to identify the identified skin areas. Collect local and detailed images of the problem area with magnification to obtain the location of the identified area. Skin problems correspond to severity and/or scores along dimensions, allowing users to have a more accurate and comprehensive understanding of facial skin health.
  • Control the first image acquisition component to acquire full-face images specifically including:
  • the white light is controlled to be turned on to take a full-face photo to collect a full-face image.
  • Identify skin problems and identify areas based on full face images including:
  • the first image acquisition component is controlled to start the camera, and first determines whether the user's entire face is within the camera area. If not, the user is prompted by voice to move accordingly; and then the surrounding light brightness is determined. If the environment is dark, then Start the white LED light set of makeup lights around the beauty mirror body; finally take a white light photo of the whole face, and identify skin problems based on the convolutional neural network model of the training number (the convolutional neural network model is a pre-designed Feasible network model, load a large number of face training data sets into the network model, and then perform automatic training to obtain a good recognition rate), and finally identify skin problems (texture, pores, acne, Sensitivity, stains, blackheads and oil, and locate the coordinates of texture, pores, acne, sensitivity, stains, blackheads and grease, etc., and mark the corresponding positions on the full face image.
  • the convolutional neural network model is a pre-designed Feasible network model, load a large number of face training data sets into the network
  • the skin problem area is marked with a circle on the full face image. It is also displayed on the beauty mirror or external terminal device APP interface, and the user is prompted through voice or the interface whether to perform local inspection immediately.
  • Full face image detection is mainly to help users quickly find out the healthy and weak areas of facial skin. Through preliminary macro inspection of the entire face, the areas with skin problems can be found and marked.
  • a partial second image acquisition component When collecting partial images, a partial second image acquisition component is used to align the above-mentioned marked areas. Under white light, polarized light, UV light and other light sources, a camera with dozens of times of magnification is used to automatically take pictures according to the image clarity, and capture all marked areas. Perform targeted image acquisition.
  • the second image collection component is a skin measuring pen.
  • the second image acquisition component to collect preset partial images of the marked area where each skin problem is located under natural light, UV light or polarized light, including:
  • step S501 prompt the user to use the second image acquisition component to collect an image of the marked area where a certain skin problem is located under natural light, UV light or polarized light, and determine whether the captured image is clear. If not, repeat step S501; if If clear, proceed to step S502;
  • step S502 prompt the user to take the next image of the identified area under the same light source or a different light source; and repeat step S501;
  • S504 Repeat S501 to S503 until all preset partial images are collected in all marked areas with skin problems.
  • the image captured by the second image acquisition component can be compared and determined in real time with the pre-image information. When the sharpness score is reached, the image is determined to be clear and the image is saved.
  • the clarity can also be judged through an image recognition algorithm such as a deep neural network algorithm, and when a clear image is recognized, the image is saved.
  • the skin problems include: at least one of texture, pores, acne, sensitivity, stains, blackheads or oil; each skin problem corresponds to one dimension.
  • the severity includes: severe, moderate or mild.
  • the score is obtained based on the severity and corresponding confidence level, as follows:
  • x represents the confidence level
  • f(x) represents the score
  • a preset algorithm is used to perform data operations to calculate the severity and/or score of the skin problem in the corresponding dimension, so as to more accurately understand the health of the skin and take corresponding skin care measures.
  • the severity category and the corresponding confidence level can be obtained according to existing image processing methods, and will not be described in detail in this embodiment.
  • the control enters the step of acquiring the full face image by the first image acquisition component; if it is enabled, it is prompted to use the second image acquisition component to collect partial images of each divided facial area. Based on the acquisition The partial image is used to obtain the severity and/or score of each facial area in the corresponding dimension of the skin problem.
  • the facial area includes: forehead, left cheek, right cheek, nose and chin.
  • Prompt to use the second image acquisition component to collect partial images of each divided facial area including:
  • the second image acquisition component It is prompted to use the second image acquisition component to collect a preset partial image of each divided facial area under natural light, UV light or polarized light; the preset image is greater than 1.
  • the second image acquisition component to collect preset partial images of each divided facial area under natural light, UV light or polarized light, specifically including:
  • step S801 prompts the user to use the second image acquisition component to collect and divide the image under natural light, UV light or polarized light. Take an image of a certain facial area, and determine whether the captured image is clear. If it is not clear, repeat step S801; if it is clear, proceed to step S802;
  • step S802 prompt the user to take the next image of the facial area under the same light source or different light sources; and repeat step S801;
  • S804 Repeat S801 to S803 until all divided facial areas have collected preset partial images.
  • the present disclosure can automatically search whether there is a second image collection component, WIFI hotspot, etc. to determine whether the second image collection component is turned on. If it is not turned on, full face image collection and analysis can be performed first, and then the user can be guided to turn on the second image collection component to detect whether the second image collection component is turned on. Local image collection and analysis are performed on areas with skin problems; if the second image collection component is turned on, the user can be prompted to perform full face image detection first. If the user does not turn off the second image collection component, it means that the user does not want to perform full face image collection and detection. , then directly collect and detect partial images of the area selected by the user, or guide the user to sequentially collect and detect images of the forehead, left cheek, right cheek, nose and chin areas to meet the user's multi-faceted needs.
  • a facial skin detection device including a first image collection component 30, a cosmetic mirror 10 and a second image collection component 20; the cosmetic mirror 10 and the first image collection component 30 and the second image collection component 20 Data interaction is performed respectively; the first image collection component 30 and the cosmetic mirror 10 are provided separately, or the first image collection component 30 is provided on the cosmetic mirror 10 .
  • the first image collection component 30 of this embodiment includes a main camera 301 disposed above the cosmetic mirror 10 .
  • the second image collection component 20 is placed in the pen holder 201 .
  • the pen holder 201 is arranged next to the cosmetic mirror 10 and is designed to be integrated with the cosmetic mirror 10 .
  • the beauty mirror 10 also includes a mirror body 101, a rotating component 102, a support frame 103 and a base 104.
  • the mirror body 101 is connected to the base 104 through a support frame 103 .
  • the rotating component 102 drives the mirror body 101 to flip, and the rotating component 102 includes a rotating shaft 1021 .
  • the front of the scope 101 is composed of a touch screen 1011, a display screen 1012, a control motherboard 1013, a fill light assembly 1014, etc., in which the main camera 301 is located in the middle of the upper end of the scope 101.
  • the inner side of the touch screen 1011 has a hollow black silk screen corresponding to the silk screen position, which allows users to operate various functions directly on the mirror surface.
  • the control mainboard 1013 stores a software program that implements the facial skin detection method as described above, and the software program can be executed on the control mainboard 1013 and the execution results are displayed on the display screen 1012 .
  • the main camera will be started immediately to determine whether the user's entire face is within the camera area. If not, the user will be prompted by voice to move accordingly; and then the surrounding light brightness will be determined. If the environment is dark, the white LED light group of makeup lights around the mirror body is started; finally, the whole face is photographed with white light, and then based on the target detection of the convolutional neural network in the depth algorithm, skin problems in the limited area of the face are identified, and Locate the image coordinates of the detected skin condition and mark the corresponding location area on the face;
  • the interface prompts the user whether to perform partial detection immediately
  • the system will automatically take pictures based on the image clarity, and measure all Targeted image collection is carried out in severe areas.
  • the system uses its own algorithm to perform data operations to calculate the key dimensions of facial skin: texture, pores, acne, sensitivity, stains, blackheads, oil, etc., and determine the scores. It is divided into heavy, medium and light, so as to understand the health of the skin more accurately and recommend solutions more accurately.
  • Embodiment 2 The difference between this embodiment and Embodiment 2 is that the software program that implements the facial skin detection method as described above is stored in an external terminal device, and the software program can be executed on the external terminal device and executed on the external terminal device. The execution results are shown on the display.
  • a facial skin detection device includes a first image acquisition component 901, a cosmetic mirror 902, a second image acquisition component 903 and an external terminal device 904; the cosmetic mirror 902 and the cosmetic mirror 902.
  • the first image acquisition component 901, the second image acquisition component 903 and the external terminal device 904 perform data interaction respectively; the first image acquisition component 901 and the cosmetic mirror 902 are set up separately, or the first image acquisition component 901 is provided on the cosmetic mirror 902.
  • the second image collection component 903 includes a skin measuring pen.
  • embodiments of the present disclosure also provide an electronic device, which is embodied in the form of a general computing device.
  • the components of the electronic device may include, but are not limited to: at least one processing unit, at least one storage unit, and a bus connecting different system components (including storage units and processing units).
  • the storage unit stores program code, and the program code can be executed by the processing unit, so that the processing unit performs various exemplary implementations according to the present disclosure described in the "Example Method" section of this specification.
  • the processing unit can perform the following steps of the above method embodiment: control the first image acquisition component to collect a full-face image; identify skin problems based on the full-face image and perform area identification; prompt the use of the second image acquisition component to detect skin problems. Local images are collected in the marked area, and based on the collected local images, the severity and/or score of the marked area in the corresponding dimension of the skin problem is obtained.
  • the storage unit may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) and/or a cache memory unit, and may further include a read-only memory unit (ROM).
  • RAM random access memory unit
  • ROM read-only memory
  • the storage unit may also include a program/utility having a set of (at least one) program modules such that the program Program modules include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each of these examples or some combination may include the implementation of a network environment.
  • a bus may be a local bus representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or using any of a variety of bus structures. .
  • An electronic device may also communicate with one or more external devices (e.g., keyboard, pointing device, Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device, and/or with one or more devices that enable the electronic device to interact with the electronic device.
  • a device can communicate with any device (eg, router, modem, etc.) that communicates with one or more other computing devices. This communication can occur through input/output (I/O) interfaces.
  • the electronic device may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through a network adapter. As shown in the figure, the network adapter communicates with other modules of the electronic device through a bus.
  • LAN local area network
  • WAN wide area network
  • public network such as the Internet
  • embodiments of the present disclosure also provide a computer-readable storage medium.
  • the computer-readable storage medium may be a readable signal medium or a readable storage medium.
  • Program products capable of implementing the above methods of the present disclosure are stored thereon.
  • various aspects of the present disclosure can also be implemented in the form of a program product, which includes program code.
  • the program code is used to cause the The terminal device performs the steps according to various exemplary embodiments of the present disclosure described in the above "Example Method" section of this specification.
  • Computer-readable storage media in embodiments of the present disclosure may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM) ), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • RAM random access memory
  • ROM read-only memory
  • EPROM or flash memory erasable programmable read-only memory
  • CD-ROM portable compact disk read-only memory
  • magnetic storage device or any suitable combination of the above.
  • a computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave carrying readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above.
  • a readable signal medium may also be any readable medium other than a readable storage medium that can send, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device.
  • program code embodied on a computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.
  • program code for performing operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages—such as Java, C++ etc., also includes conventional procedural programming languages - such as "C" language or similar programming languages.
  • the program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on.
  • the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device, such as provided by an Internet service. (business comes via Internet connection).
  • LAN local area network
  • WAN wide area network
  • inventions of the present disclosure also provide a computer program product.
  • the computer program product includes: a computer program that implements the above facial skin detection method when executed by a processor.

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Abstract

Procédé et dispositif d'évaluation de la peau du visage. Le procédé consiste à : commander à un premier ensemble d'acquisition d'image (30) d'acquérir une image faciale complète ; identifier des problèmes cutanés en fonction de l'image faciale complète et effectuer un marquage de région ; inviter à utiliser un second ensemble d'acquisition d'image (20) pour acquérir des images locales au niveau des régions marquées où des problèmes cutanés sont présents et obtenir un degré de gravité et/ou un score par rapport à des attributs correspondants des problèmes cutanés au niveau des régions marquées sur la base des images locales acquises. Dans le présent procédé, des premières régions où des problèmes cutanés sont présents sont rapidement identifiées au moyen de l'image faciale complète et le marquage est effectué, puis des images granulaires locales agrandies sont acquises au niveau des régions où des problèmes cutanés sont présents au moyen du second ensemble d'acquisition d'image pour obtenir le degré de gravité et/ou le score par rapport à des attributs correspondants des problèmes cutanés au niveau des régions marquées, ce qui permet à un utilisateur d'avoir une compréhension plus précise et complète de la santé de la peau de son visage.
PCT/CN2023/108738 2022-08-19 2023-07-21 Procédé et dispositif d'évaluation de la peau du visage WO2024037287A1 (fr)

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CN202210998003.3A CN117617899A (zh) 2022-08-19 2022-08-19 一种脸部皮肤检测方法及检测装置

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