WO2022135579A1 - Procédé et dispositif de détection de couleur de peau, terminal mobile et support de stockage - Google Patents
Procédé et dispositif de détection de couleur de peau, terminal mobile et support de stockage Download PDFInfo
- Publication number
- WO2022135579A1 WO2022135579A1 PCT/CN2021/141287 CN2021141287W WO2022135579A1 WO 2022135579 A1 WO2022135579 A1 WO 2022135579A1 CN 2021141287 W CN2021141287 W CN 2021141287W WO 2022135579 A1 WO2022135579 A1 WO 2022135579A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- data
- face
- skin
- probability
- mapping function
- Prior art date
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 83
- 238000013507 mapping Methods 0.000 claims abstract description 171
- 238000000034 method Methods 0.000 claims abstract description 33
- 230000006870 function Effects 0.000 claims description 117
- 210000004209 hair Anatomy 0.000 claims description 67
- 230000000875 corresponding effect Effects 0.000 claims description 29
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 5
- 230000007423 decrease Effects 0.000 claims description 3
- 230000002596 correlated effect Effects 0.000 claims description 2
- 210000003128 head Anatomy 0.000 description 54
- 238000012545 processing Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 9
- 230000003796 beauty Effects 0.000 description 6
- 210000004709 eyebrow Anatomy 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 238000013527 convolutional neural network Methods 0.000 description 4
- 210000005069 ears Anatomy 0.000 description 4
- 230000018109 developmental process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 210000001061 forehead Anatomy 0.000 description 3
- 230000002093 peripheral effect Effects 0.000 description 3
- 238000012935 Averaging Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 2
- 210000000887 face Anatomy 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000037308 hair color Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000012887 quadratic function Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000004984 smart glass Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
Definitions
- the at least one processor When the at least one program is executed by the at least one processor, the at least one processor implements the skin color detection method according to the first aspect.
- These methods for implementing face detection can be integrated in the modules of the application, and the modules of the application are directly called to perform face detection on image data. These methods for implementing face detection can also be integrated in the SDK (Software Development Kit, software development kit). ), the SDK is used as the assembly data of the application, the application can request the SDK to perform face detection on multi-frame image data, the SDK detects the face data in the image data, and returns the face data to the application.
- the SDK Software Development Kit, software development kit
- the shape of the face data is oval
- the width of the face frame be w
- the height be h
- the four focal points are A(x 1 , y 1 ), B(x 2 , y 2 ), C(x 3 , y 3 ), D(x 4 , y 4 )
- the focus of the hair data is F 1 ((x 1 +x 2 )/2, (y 1 +y 2 )/2), F 2 ((x 3 +x 4 ) /2, (y 3 +y 4 )/2)
- the length of the long axis of the hair data is Among them, i is the first ratio, which belongs to a positive number less than or equal to 1, such as 0.5, and j is the first ratio, which belongs to a positive number less than or equal to 1, such as 0.5.
- the head data includes face data matching the face contour in the head contour and hair data matching the hair contour in the head contour
- the pixel point The probability of belonging to skin data is high, and in hair data, the probability of pixels belonging to skin data is low. If the brightness value of the face data is greater than the brightness value of the hair data, then the skin color detection can be suppressed by using the brightness value.
- the second reference brightness value statistics module is configured to count the brightness values of the face data and the hair data as the second reference brightness value, and the probability that the second reference brightness value corresponds to the current data belonging to the skin data is 1;
- Mobile terminal 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the mobile terminal 12, including volatile and non-volatile media, removable and non-removable media.
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
Abstract
Des modes de réalisation de la présente demande concernent un procédé et un dispositif de détection de couleur de peau, un terminal mobile et un support de stockage. Le procédé consiste à détecter des données de visage dans des données d'image, et en référence aux données de visage, à séparer des données de tête correspondant à un contour de tête ; à remplacer une valeur de couleur des données d'image en une première fonction de mappage pour calculer une première probabilité cible des données d'image qui sont des données de peau ; à générer une seconde fonction de mappage en référence à une valeur de luminosité des données de tête ; à remplacer une valeur de luminosité des données d'image dans la seconde fonction de mappage pour calculer une seconde probabilité cible des données d'image étant des données de peau ; et à détecter des données de peau dans les données d'image par combinaison de la première probabilité cible et de la seconde probabilité cible.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011566266.4 | 2020-12-25 | ||
| CN202011566266.4A CN112686965A (zh) | 2020-12-25 | 2020-12-25 | 一种肤色检测方法、装置、移动终端和存储介质 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2022135579A1 true WO2022135579A1 (fr) | 2022-06-30 |
Family
ID=75451866
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2021/141287 WO2022135579A1 (fr) | 2020-12-25 | 2021-12-24 | Procédé et dispositif de détection de couleur de peau, terminal mobile et support de stockage |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112686965A (fr) |
| WO (1) | WO2022135579A1 (fr) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686965A (zh) * | 2020-12-25 | 2021-04-20 | 百果园技术(新加坡)有限公司 | 一种肤色检测方法、装置、移动终端和存储介质 |
| CN114710627B (zh) * | 2022-04-06 | 2024-03-29 | Oppo广东移动通信有限公司 | 皮肤检测方法、移动终端、计算机设备和介质 |
| CN114708543B (zh) * | 2022-06-06 | 2022-08-30 | 成都信息工程大学 | 一种考场监控视频图像中考生定位方法 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140079319A1 (en) * | 2012-09-20 | 2014-03-20 | Htc Corporation | Methods for enhancing images and apparatuses using the same |
| CN107564073A (zh) * | 2017-09-14 | 2018-01-09 | 广州市百果园信息技术有限公司 | 肤色识别方法及装置、存储介质 |
| CN107633252A (zh) * | 2017-09-19 | 2018-01-26 | 广州市百果园信息技术有限公司 | 肤色检测方法、装置及存储介质 |
| CN112597911A (zh) * | 2020-12-25 | 2021-04-02 | 百果园技术(新加坡)有限公司 | 一种磨皮处理方法、装置、移动终端和存储介质 |
| CN112686965A (zh) * | 2020-12-25 | 2021-04-20 | 百果园技术(新加坡)有限公司 | 一种肤色检测方法、装置、移动终端和存储介质 |
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2020
- 2020-12-25 CN CN202011566266.4A patent/CN112686965A/zh active Pending
-
2021
- 2021-12-24 WO PCT/CN2021/141287 patent/WO2022135579A1/fr active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140079319A1 (en) * | 2012-09-20 | 2014-03-20 | Htc Corporation | Methods for enhancing images and apparatuses using the same |
| CN107564073A (zh) * | 2017-09-14 | 2018-01-09 | 广州市百果园信息技术有限公司 | 肤色识别方法及装置、存储介质 |
| CN107633252A (zh) * | 2017-09-19 | 2018-01-26 | 广州市百果园信息技术有限公司 | 肤色检测方法、装置及存储介质 |
| CN112597911A (zh) * | 2020-12-25 | 2021-04-02 | 百果园技术(新加坡)有限公司 | 一种磨皮处理方法、装置、移动终端和存储介质 |
| CN112686965A (zh) * | 2020-12-25 | 2021-04-20 | 百果园技术(新加坡)有限公司 | 一种肤色检测方法、装置、移动终端和存储介质 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112686965A (zh) | 2021-04-20 |
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