Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Virtual manicure try-on method based on deep learning

A technology of deep learning and manicure, applied in the field of virtual manicure, can solve the problems that users cannot obtain the display effect of manicure plan, and achieve the effect of low price, easy to use and manage, and safe implementation method

Pending Publication Date: 2020-04-21
SHANGHAI UNIV OF MEDICINE & HEALTH SCI
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method can only be done in places where nail art machines are installed, and the lighting source provided by the nail art machine is different from the daily light, and users cannot obtain the display effect of the nail art plan they choose in the real environment

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
  • Virtual manicure try-on method based on deep learning
  • Virtual manicure try-on method based on deep learning
  • Virtual manicure try-on method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0029] Such as figure 1 As shown, the nail image segmentation method based on the deep full convolutional neural network provided by the present invention first inputs the digital image containing the nail area, uses the trained deep full convolutional neural network to predict and judge the pixels in the input image, and finally Get the segmentation result of the nail area; after obtaining the segmentation result, the system uses the color and texture information contained in the nail art scheme selected by the user to recolor the nail area in the original image to achieve the purpose of virtual nail art.

[0030] The deep fully convolutional neural network accepts the original image containing nails as input, and the output of the neural network is processed to obtain the segmentation result of the nail area; using the obtained segmentation area as a mask, the nail area of ​​the input image is processed according to the customer's favorite coloring scheme Refill the color an...

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 relates to a virtual manicure try-on method based on deep learning, and the method comprises the steps: obtaining a single image or video image containing a nail, employing a deep learning full convolution neural network method to segment and track a nail region in real time, combining with the color of the nail selected by a user and the re-coloring of a pattern template, and achieving the virtual manicure try-on function. Compared with the prior art, the method has the advantages that the deep learning and virtual reality technologies are adopted, the shot single picture or continuous video images containing the nails are processed, the nails are segmented and tracked in real time, and the function of virtual manicure try-on is achieved in combination with the selected templates such as the colors / patterns of the nails. According to the method, through the form of a mobile phone APP, customers are not limited by places and equipment, manicure try-on and selection are completed, and the experience feeling of the customers is enhanced.

Description

technical field [0001] The present invention relates to a virtual manicure method, in particular to a virtual manicure try-on method based on deep learning. Background technique [0002] With the improvement of living standards, people are turning more from material life needs to spiritual needs, and beautifying finger (toe) nails is just a manifestation of this. Manicure has become a trend, which is to recolor or decorate individual fingernails or toenails (the following are only expressed with nails as an example) according to personal hand shape, nail shape, skin color, clothing color and subjective feelings to form various logos Personalized nail texture patterns satisfy personal pursuit of beautiful image. [0003] Manicure is a complex process, including program selection, disinfection, cleaning, nursing, maintenance and beautification. Among them, the selection of the nail art plan determines the follow-up work process, which is particularly important. In order to ...

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
IPC IPC(8): G06K9/62G06K9/34G06N3/04G06N3/08G06Q30/06
CPCG06N3/08G06Q30/0621G06V10/267G06N3/045G06F18/241
Inventor 孙九爱王超楠刘小瑾王雄魏玲吴忠航
Owner SHANGHAI UNIV OF MEDICINE & HEALTH SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com