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WO2012011682A2 - Dispositif et procédé pour mesurer une structure de peau - Google Patents

Dispositif et procédé pour mesurer une structure de peau Download PDF

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Publication number
WO2012011682A2
WO2012011682A2 PCT/KR2011/004883 KR2011004883W WO2012011682A2 WO 2012011682 A2 WO2012011682 A2 WO 2012011682A2 KR 2011004883 W KR2011004883 W KR 2011004883W WO 2012011682 A2 WO2012011682 A2 WO 2012011682A2
Authority
WO
WIPO (PCT)
Prior art keywords
skin
map
normal
normal map
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/KR2011/004883
Other languages
English (en)
Korean (ko)
Other versions
WO2012011682A3 (fr
Inventor
한지연
남개원
김명준
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Amorepacific Corp
Original Assignee
Amorepacific Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from KR1020100070850A external-priority patent/KR101710152B1/ko
Priority claimed from KR1020100070847A external-priority patent/KR101647103B1/ko
Application filed by Amorepacific Corp filed Critical Amorepacific Corp
Priority to JP2013520639A priority Critical patent/JP5921543B2/ja
Publication of WO2012011682A2 publication Critical patent/WO2012011682A2/fr
Publication of WO2012011682A3 publication Critical patent/WO2012011682A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence

Definitions

  • Embodiments relate to an apparatus and method for measuring skin structure.
  • the present invention by taking a picture of the subject's skin while changing the position of the light source, it is possible to obtain information about the fine structure, such as wrinkles or pores on the skin using the photographed image It is possible to provide an apparatus and method for measuring skin structure that can represent this as an image.
  • an apparatus for measuring skin structure may include: a plurality of light sources arranged in different directions with respect to a skin to be measured and configured to sequentially irradiate light onto the skin; And a photographing unit which photographs the skin to generate a plurality of images respectively reflected by the plurality of light sources.
  • the skin structure measuring apparatus may further include a fixing unit configured to fix the position of the skin.
  • the skin structure measuring apparatus may further include a support part configured to support the photographing part and the plurality of light sources and to be movable with respect to the skin.
  • the apparatus for measuring skin structure may further include an analyzer configured to calculate structure information of the skin using the plurality of images.
  • the analysis unit may include a normal calculation unit configured to generate a 1 normal map that is subjected to normal information of the skin by using brightnesses of the plurality of images.
  • the analysis unit based on the microstructure information of the skin using the first normal map
  • the apparatus may further include a microstructure calculator configured to generate a second normal map.
  • the analysis unit may further include a wrinkle component calculation unit configured to generate a scalar map that is subjected to wrinkle component information of the skin using the crab normal map.
  • the analysis unit may further include an elasticity calculator that calculates skin elasticity information from the first normal map.
  • a method for measuring skin structure may include: photographing a plurality of images supported in each of the plurality of light irradiation directions while sequentially irradiating light to the skin in a plurality of different light irradiation directions; And generating a first normal map that is subjected to normal information on the surface of the skin by using brightnesses of the plurality of images.
  • the skin structure measuring method may further include generating a low frequency map corresponding to skin contour information by applying a Gaussian filter to the first normal map; And generating a second normal map that is subtracted from the microstructure information of the skin by removing the low frequency map from the first normal map.
  • the skin structure measuring method may include: generating a two-dimensional vector map by extracting a horizontal component from the second normal map; And generating a scalar map corresponding to the wrinkle component information of the skin by applying an elliptical Gaussian filter to the two-dimensional vector map.
  • the skin structure measuring method may further include calculating skin elasticity information from the first normal item.
  • a normal map corresponding to a microstructure such as wrinkles or pores present in the skin is obtained from the skin image photographed while changing the position of the light source.
  • the generated normal map can be displayed as an image. Through the generated image, it is possible to visually check the improvement of skin structure before and after using a specific cosmetic product.
  • La to H are views illustrating a skin structure measuring apparatus according to an embodiment.
  • FIGS. 2A and 2B are views showing a fixture that may be used to fix the subject's position.
  • 3A to 3C illustrate the blood of a subject by using a skin structure measuring apparatus according to an embodiment. It is a photograph showing an image of a part.
  • FIG. 4 is a block diagram illustrating an analyzer in a skin structure measuring apparatus according to an exemplary embodiment.
  • FIG. 5 is a schematic diagram illustrating a process of generating a first normal map in a skin structure measuring apparatus according to an exemplary embodiment.
  • 6A and 6B are images representing a normal map generated by a skin structure measuring apparatus according to an exemplary embodiment.
  • FIG. 7 is an image displayed on a low frequency map calculated from a first normal map according to a skin structure measuring apparatus according to an exemplary embodiment.
  • FIGS. 8A and 8B illustrate an image reflected on a second normal map generated from a first normal map according to an apparatus for measuring skin structure, according to an exemplary embodiment.
  • FIG. 9 is an image displayed on a scalar map generated from a second normal map according to an apparatus for measuring skin structure according to an exemplary embodiment.
  • FIG. 10 is a flowchart illustrating a method for measuring skin structure according to an embodiment.
  • La to If are views illustrating a skin structure measuring apparatus according to an embodiment.
  • La is a perspective view of the device, and lb and lc are left and right side views of the device, respectively.
  • Figure ID is a top view of the device, and Figures le and If are front and back views of the device, respectively.
  • the apparatus for measuring skin structure may include a plurality of light sources 10 and a photographing unit 20.
  • the skin structure measuring apparatus may further include a support part 40 for supporting the light source 10 and the photographing part 20.
  • the plurality of light sources 10 are devices for irradiating light onto the skin of a subject.
  • each light source 10 may be a flash device mainly used for cameras and the like.
  • the light source 10 may be a metal halide lamp.
  • Metal halide lamps have a color close to sunlight, and can have an effect close to a point light source because of their small size.
  • the skin image can be easily taken in a general environment, not in the dark room. Therefore, by using the skin structure measuring device in the retailer of cosmetic products, by taking images of the skin of the consumer and measuring the skin structure, it is possible to confirm the efficacy of the product, etc. There is an advantage to that.
  • the light source 10 may be a light emitting diode or other different light irradiation means in addition to the metal halide lamp.
  • a reflector (not shown) and / or a polarizing filter (not shown) may be used together with the light source 10.
  • the plurality of light sources 10 may be arranged to irradiate the skin with light from different directions.
  • the plurality of light sources 10 may be arranged symmetrically or asymmetrically about the subject. For example, in FIGS. La to If, twelve light sources 10 are arranged in a hemispherical shape centered on the subject's position.
  • the plurality of light sources 10 do not necessarily have to be arranged in a hemispherical shape, and may be arranged in a spherical shape completely surrounding the subject or in other different arrangements.
  • the number of the light sources 10, the distance between the light sources 10, and the distance between the light sources 10 and the subject may also be different from those shown in the drawings.
  • the photographing unit 20 may be configured to photograph the subject's skin image in a state where the light is irradiated by the plurality of light sources 10 positioned in front of the subject.
  • the plurality of light sources 10 may sequentially irradiate light, and the photographing unit 20 may be synchronized with each light source 10 to capture an image in a state where light is irradiated by each light source 10.
  • a plurality of images are generated in the photographing unit 20, and each image represents skin in which light is irradiated by a different light source 10. That is, a plurality of skin images having different light irradiation directions can be obtained.
  • the light source 10 and the imaging unit 20 may be fixed to the movable support 40.
  • the support 40 may be a structure on which the wheel is attached, and the position of the light source 10 and the photographing unit 20 for the subject may be changed by moving the support 40 using the wheel.
  • the skin structure measuring apparatus may further include a separate fixing unit for fixing the position of the subject.
  • FIG. 2A is a perspective view showing the fixing part 30, and
  • FIG. 2B is a front view of the fixing part 30 of FIG. 2A.
  • the body part of the subject eg, the head of the subject
  • the fixing part 30 may be fixed.
  • the subject may photograph the subject's face skin while his / her jaw is covered by the fixed part 30.
  • the shape of the fixing part 30 shown in FIGS. 2A and 2B is merely exemplary.
  • the fixation part 30 may be configured by other different means for fixing the subject's position.
  • the skin image of the subject may be photographed without using a separate fixing part.
  • FIGS. 3A to 3C are photographs showing images of the skin measured by the skin structure measuring apparatus shown in FIG. 1, and FIGS. 3A to 3C are skin images measured while irradiating light to the skin from different light irradiation directions, respectively.
  • the skin structure measuring apparatus may further include an analysis unit for calculating the structure information of the skin by using the plurality of images.
  • an analysis unit may refer to a computer-related entity such as hardware, a combination of hardware and software, or software.
  • the analysis unit 50 may include a running process, a processor, an object, an executable, a thread of execution, a program, and / or a computer, but are not limited thereto. no.
  • both an application running on a computer and a computer may correspond to the analysis unit.
  • FIG. 4 is a block diagram illustrating an analysis unit included in a skin structure measuring apparatus, according to an exemplary embodiment.
  • the analyzer 50 may include a normal calculator 51, a microstructure calculator 52, and a wrinkle component calculator 53.
  • the normal calculation unit 51 includes a first normal map including normal information on the surface of the skin by using a plurality of images having different light irradiation directions.
  • the normal map refers to skin structure information obtained by calculating normal information of a skin surface of an area corresponding to each pixel using brightness information of each pixel in an image of a skin surface. All. Such a normal map may be displayed in the form of an image having a color and / or a shade that is reflected in the normal information at each pixel.
  • FIG. 5 is a schematic diagram for explaining a process of generating a first normal map.
  • the intensity of light irradiated from the light source 10 and reflected from the surface of the skin 1 may be expressed by Equation 1 using a Phong reflection model. ⁇ 43> [Equation 1]
  • Equation 1 I L represents the intensity of incident light from the light source 10, and I represents the intensity of light reflected from the surface of the skin 1.
  • K D represents the diffuse reflection constant of skin (1)
  • 3 ⁇ 4 is the specular reflection constant of skin (1)
  • N is a vector representing the normal of the surface of the skin 1
  • V is a vector representing the direction of observation, and is plotted on the direction of the imaging section 20 relative to the skin 1.
  • L is a vector which shows the direction of incident light with respect to the skin 1 surface
  • R is a vector which shows the direction of the reflected light in the position symmetrical with incident light with respect to a normal line direction.
  • the direction L of the incident light and the direction R of the reflected light form the same angle ⁇ as the normal vector N.
  • the brightness of each pixel in the skin measured image corresponds to I in Equation (1).
  • other terms except for I and N may obtain values in advance.
  • the direction L of the incident light with respect to the surface of the skin 1 may be obtained by placing a reflector near the subject and photographing the reflector at the time of photographing the skin, and by looking at the light source reflected on the reflector.
  • the first normal map refers to skin structure information obtained by calculating normal information on all pixels of an image photographing skin in the above manner.
  • FIG. 6A and 6B are images that are displayed on the first normal map generated by the above-described process.
  • the image of FIG. 6A is a result of rendering using Lambert i an shading to express the first normal map, and the values of the components of the x-, y-, and z-axis of the normal vector are respectively red ( The result obtained by rounding off to R), green (G) and blue (B) is shown. Meanwhile, the image of FIG. 6B shows a result of rendering using only shadows without applying color to the first normal map.
  • the microstructure calculation unit 52 generates a second normal map corresponding to the microstructures such as wrinkles and / or pores on the skin by using the first normal map generated by the normal calculation unit 51. can do.
  • the first normal map generated by the normal calculation unit 51 is a normal of the skin surface. Corresponds to the information. However, since the subject's face is a three-dimensional curved surface, the normal information of the skin in the first normal map includes not only the microstructures such as wrinkles and / or pores, but also the overall outline of the subject's face. Thus, the first normal map alone is difficult to know information about the microstructures such as wrinkles and / or pores present in the skin of the subject.
  • the fine structure calculator 52 may include a low-frequency map generator 521 and a second normal map generator 522.
  • the low frequency map generator 521 may calculate a low frequency map that is subjected to contour information of the skin from the first normal map.
  • the low frequency map may be calculated through a process of obtaining a low frequency component by applying a Gaussian filter to the first normal map and normalizing it again.
  • the width of the Gaussian filter to be applied may be appropriately determined so that microstructures such as wrinkles and / or pores of the skin are not visible in the low frequency map.
  • FIG. 7 is an image displayed on a low frequency map calculated from a first normal map by a low frequency map generator. As shown, in the conventional skin image, fine structures such as wrinkles and pores are not observed in the low frequency map, and only the components that cover the entire contour of the face such as the nose and the lip protrude and the periphery of the eye are depressed You can see what is observed in.
  • the second normal map generator 522 removes the second normal map corresponding to the microstructure of the skin by removing the low frequency map calculated by the low frequency map generator 521 from the original first normal map. Can be generated.
  • the second normal map is a method of first calculating a rotation operation for converting a low-frequency map including contour information of the skin into a map on a plane, and then applying the calculated rotation operation to the original first normal map. Can be generated.
  • the components corresponding to the entire contour of the skin in the normal vector corresponding to each pixel of the first normal map are removed by a rotation operation. Therefore, in the finally generated second normal map, only components that are applied to the microstructures such as wrinkles and / or pores existing on the skin except the overall outline of the skin remain.
  • the microstructure calculation unit 52 may further include a scaling unit 53.
  • N (-df / dx, ⁇ df / dy, 1)
  • microstructures can be strengthened and / or weakened by controlling the size of the xy component in the normal vector.
  • the example of scaling the curved surface in the Z-axis direction has been described, but the scaling direction may be appropriately determined in the vertical and / or horizontal directions according to the direction of the component to be emphasized in the microstructure.
  • FIG. 8A and 8B are images reflected on the second normal map generated by the microstructure calculating unit.
  • FIG. 8A illustrates a second normal map generated from the first normal map
  • FIG. 8B illustrates a result of performing scaling to emphasize components in the horizontal direction in the second normal map of FIG. 8A.
  • FIG. 8A illustrates a second normal map generated from the first normal map
  • FIG. 8B illustrates a result of performing scaling to emphasize components in the horizontal direction in the second normal map of FIG. 8A.
  • the wrinkle component calculation unit 53 may generate a scalar mapol generated only by the wrinkle component of the skin from the second normal map generated by the microstructure calculation unit 52 and corresponding to the microstructure of the skin.
  • the wrinkle component refers to only a structure having a predetermined size or more among the microstructure of the skin.
  • the wrinkle component may refer to a separation of only a relatively large coarse wrinkle portion except for a relatively small portion such as pores or fine lines in the second normal map.
  • the size of the fine structure divided by the thick wrinkles may be appropriately defined according to the purpose of measuring the skin structure, etc., it is not limited to any one value.
  • the wrinkle component calculator 53 may include a vector map generator 531 and a scalar map generator 532.
  • the vector map generator 531 may generate a two-dimensional vector map by extracting and normalizing only components of the normal vectors in the X- and y-axis directions of the second normal map.
  • the scalar map generator 532 filters the two-dimensional vector map generated by the vector map generator 531 using an elliptical Gaussian filter. can be filtered.
  • the output of the elliptical Gaussian filter is high if the direction of the vector matches the direction of the filter in the two-dimensional vector map.
  • the output value is calculated while changing the direction of the elliptical Gaussian filter in each vector, and the resulting maximum output value can be used as a scalar value of the corresponding vector.
  • the scalar map generation unit 532 determines the direction of the elliptical Gaussian filter.
  • the scalar map generator 532 may extract only the wrinkle component corresponding to the angle by adjusting the rotation angle of the elliptical Gaussian filter to a preset angle.
  • the skin of the subject differs in the direction of wrinkles according to each area. Therefore, instead of rotating the elliptical Gaussian filter in all directions, only the wrinkle component in the desired direction can be extracted by calculating a scalar value while rotating in a predetermined angle range including the wrinkle direction in the measurement area.
  • the rotation interval of the elliptical Gaussian filter in the scalar map generator 532 may be appropriately determined based on the purpose of skin structure measurement. For example, a scalar value corresponding to each vector may be calculated while rotating the elliptical Gaussian filter at 5 ° intervals, or the rotation interval of the elliptical Gaussian filter may be determined by any other different value such as or or io °. have.
  • the scalar map can be generated by performing the above process on all the vectors of the 2D vector map.
  • the scalar map generated as described above has a high scalar value in a region where a relatively large microstructure is located, such as a thick wrinkle. Therefore, using the scalar map, only the fine wrinkles can be observed except for pores and fine wrinkles in the skin microstructure.
  • the wrinkle component calculation unit 53 further includes a threshold applying unit 533 for extracting only pixels whose scalar values exceed a predetermined threshold in order to more clearly distinguish the wrinkle components in the scalar map. You may.
  • FIG. 9 is an image corresponding to a result of extracting only pixels having a value exceeding a specific threshold from a scalar map generated by the wrinkle component calculating unit. As shown, it can be seen that only relatively large coarse wrinkles are observed except for small pores and fine wrinkles.
  • the analyzer 50 may further include an elasticity calculator 54 for calculating skin elasticity information using the first normal map. This can be done by computer simulation using the first normal map. For example, the angle of the first normal map You can place a virtual ball on a pixel and simulate the ball's movement according to the pixel's normal vector. As a result, the direction of movement of the ball can be determined according to the direction of the normal vector. In addition, the speed of the ball movement is relatively high at the position where the slope of the normal vector is large, whereas the speed of the movement of the ball appears at the position where the slope of the normal vector is small.
  • the motion of the ball may be simulated in each pixel of the first normal map, and the elasticity information of the skin may be calculated using the location of the ball over time. For example, by measuring the movement of the ball starting from each pixel of the first normal map at regular time intervals, and by connecting the measured position of the ball in each time step, the skin elasticity information similar to the contour line is obtained. It can also be calculated.
  • FIGS. 10 is a flowchart illustrating a method for measuring skin structure according to an embodiment.
  • the skin structure measuring method may be performed using the skin structure measuring apparatus according to the above-described embodiment with reference to FIGS. 1 to 9.
  • the skin image may be photographed in a state in which light is irradiated by each light source while sequentially irradiating light onto the skin by a plurality of light sources having different light irradiation directions (S1).
  • a first normal map including normal information of the skin surface may be generated using the plurality of photographed images (S2).
  • the second normal map corresponding to the microstructures such as wrinkles and / or pores present in the skin may be generated using the first normal map.
  • a second normal map corresponding to the microstructure of the skin may be generated (S4).
  • S3 and S4 a second normal map corresponding to the microstructure of the skin
  • scaling may be performed in one direction to further emphasize the microstructure in the second normal map generated by the above-described processes (S3 and S4) (S5).
  • a scalar blind generated only on the wrinkle component of the skin may be generated from the second normal map supported by the microstructure of the skin as described above.
  • a scalar map may be generated by filtering the generated two-dimensional vector map using an elliptical Gaussian filter (S7).
  • S7 elliptical Gaussian filter
  • the skin elasticity information may be calculated using the first normal map (S9). For example, by simulating the motion of a virtual ball at each pixel of the first normal map, measuring the ball's movement at regular intervals, and connecting the measured ball's position in each time step. Skin elasticity information can be calculated.
  • Embodiments relate to an apparatus and method for measuring skin structure.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Dermatology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

La présente invention concerne un dispositif qui permet de mesurer une structure de peau et qui peut comprendre une pluralité de sources de lumière disposées dans des directions respectivement différentes par rapport à la partie de peau à mesurer et conçues pour émettre séquentiellement de la lumière sur la peau; et une unité de capture d'une image de la peau et de génération d'une pluralité d'images correspondant à chacune des multiples sources de lumière. Le procédé de mesure d'une structure de peau peut comprendre les étapes qui consistent à: émettre séquentiellement de la lumière dans une pluralité de directions mutuellement différentes et à capturer une pluralité d'images correspondant à chacune des multiples directions d'émission de lumière; et utiliser les multiples niveaux de luminosité des multiples images pour générer une carte de perpendicularité correspondant aux informations de perpendicularité de la surface de la peau.
PCT/KR2011/004883 2010-07-22 2011-07-04 Dispositif et procédé pour mesurer une structure de peau Ceased WO2012011682A2 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2013520639A JP5921543B2 (ja) 2010-07-22 2011-07-04 皮膚構造の測定装置および方法

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR1020100070850A KR101710152B1 (ko) 2010-07-22 2010-07-22 피부 구조 측정 장치
KR10-2010-0070847 2010-07-22
KR10-2010-0070850 2010-07-22
KR1020100070847A KR101647103B1 (ko) 2010-07-22 2010-07-22 피부 구조 측정 방법

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WO2012011682A2 true WO2012011682A2 (fr) 2012-01-26
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JP6362050B2 (ja) 2014-10-15 2018-07-25 パナソニックＩｐマネジメント株式会社 撮影装置、照明制御装置および照明制御方法
JP2023044515A (ja) * 2021-09-17 2023-03-30 クラシエホームプロダクツ株式会社 皺検出装置、皺検出方法、及び皺検出プログラム

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JP3236362B2 (ja) * 1992-09-22 2001-12-10 株式会社資生堂 皮膚表面に関する画像からの３次元形状の復元に基づく皮膚表面形状の特徴抽出装置
US6993167B1 (en) * 1999-11-12 2006-01-31 Polartechnics Limited System and method for examining, recording and analyzing dermatological conditions
KR100905571B1 (ko) * 2007-07-19 2009-07-02 삼성전자주식회사 생체 정보 측정 장치
JP2010537188A (ja) * 2007-08-22 2010-12-02 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 表面の光学的特徴付けに対する方法及び装置
KR101066109B1 (ko) * 2008-12-24 2011-09-20 전자부품연구원 피부 특성 측정장치

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WO2012011682A3 (fr) 2012-04-05
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