Method for automatically detecting facial flaws

An automatic detection, face technology, applied in the direction of dressing containers, computer parts, cosmetic powder containers, etc., can solve the problem of not being able to correctly determine the location of defects

Pending Publication Date: 2020-10-13
CAL COMP BIG DATA INC
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the position of the defect can only be observed and confirmed by the user with the naked eye.
Therefore, some inexperienced users often have the trouble of not being able to correctly judge the location of the defect

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for automatically detecting facial flaws
  • Method for automatically detecting facial flaws
  • Method for automatically detecting facial flaws

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0141] This example provides Figure 4 An embodiment of the concealer treatment in step 23 includes the following steps.

[0142] Step S30: The processing unit 10 obtains the above-mentioned epidermal change image, and executes a growing process on the image of each blemish in the epidermal change image to enlarge the image area of ​​each blemish in the epidermal change image.

[0143] In one embodiment, if Figure 11 As shown, a detection area is set in the epidermal change image 70, and the aforementioned detection area has excluded a plurality of exclusion areas 71 (such as in this example, the areas where the eyebrows, eyes, nose, and mouth are located), and the detection area is the epidermal change Other areas of the plurality of excluded areas 71 are subtracted from the image 70 . The processing unit 10 identifies the defect images 720-722 according to the aforementioned defect position in the skin change image 70, and performs concealment processing on each defect im...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for automatically detecting facial flaws. The method is applied to intelligent mirror equipment with an image capturing module, a mirror surface and a processing unit.The method comprises the steps of capturing a face image of a user through the image capturing module when the user is in front of the mirror surface, generating a smooth image through the processingunit according to the face image, generating an epidermis change image according to the difference between the two images, identifying flaws in the epidermis change image and recording the positionsof the flaws. According to the method, the position of the facial flaws can be automatically and accurately detected.

Description

technical field [0001] 本发明涉及自动检测,特别涉及自动检测脸部瑕疵的方法。 Background technique [0002] 对于女性而言,化妆几乎可说是每天皆需执行的动作之一。 [0003] 于对脸部进行化妆前,通常先对瑕疵所在位置(如斑点或疤痕)进行遮瑕处置。 [0004] 然而,针对瑕疵的位置,往往只能由使用者通过肉眼来亲自观察与确认。因此,部分经验不足的使用者常会有无法正确判断瑕疵位置的困扰。 [0005] 有鉴于此,目前极需一种辅助装置,可有效地协助使用者确认脸部瑕疵的位置,进而协助经验不足的使用者快速且正确地进行遮瑕。 Contents of the invention [0006] 本发明的目的在于提供一种自动检测脸部瑕疵的方法,使其可基于使用者的表皮变化影像来进行瑕疵检测。 [0007] 为实现上述目的,于一实施例中,本发明提供一种自动检测脸部瑕疵的方法,运用于包括一影像撷取模块及一处理单元的一智能镜设备,包括以下步骤: [0008] a)于一使用者位于该智能镜设备前时经由该影像撷取模块撷取该使用者的一脸部影像; [0009] b)经由该处理单元对该脸部影像执行一第一平滑化处理以产生一平滑影像; [0010] c)依据该脸部影像与该平滑影像之间的差异产生一表皮变化影像;及 [0011] d)对该表皮变化影像执行一瑕疵检测处理以于该表皮变化影像中识别至少一瑕疵并记录各该瑕疵的位置。 [0012] 于一实施例中,该智能镜设备更包括一显示模块;该自动检测脸部瑕疵的方法更包括以下步骤: [0013] e1)于一瑕疵标记模式下依据各该瑕疵于该表皮变化影像中的位置于该脸部影像的相对位置进行瑕疵标记;及 [0014] e2)经由该显示模块以扩增实境方式显示标记后的该脸部影像。 [0015] 于一实施例中,该智能镜设备更包括一显示模块;该自动检测脸部瑕疵的方法更包括以下步骤: [0016] f1)于一遮瑕模式下依据各该瑕疵于该表皮变化影像中的位置对该脸部影像执行一遮瑕处理以产生一遮瑕影像;及 [0017] f2)经由该显示模块以扩增实境方式显示该遮瑕影像。 [0018] 于一实施例中,该遮瑕处理包括以下步骤: ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T5/00G06T7/00G06T7/10G06T7/62A45D44/00G06V10/34
CPCG06T7/0002G06T7/10G06T7/62G06T5/002G06T5/005A45D44/005G06T2207/10004G06T2207/30201G06T2207/30204A45D2044/007G06V40/166G06V40/171G06V10/34G06V40/19G06V40/63G06V40/67G06V40/165G06V40/193
Inventor 林永轩
Owner CAL COMP BIG DATA INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap