A method for forming an applicator comprises steps of: creating a digital geometric representation of the structure, the target structure having a flatness ratio; forming the applicator using the digital geometric representation of the target structure, the applicator having a target structure contacting surface; and disposing an active agent upon the target structure contacting surface of the applicator.

Provided is a method for processing images. The method can include: acquiring a target face image, and performing face key point detection on the target face image to acquire a face key point detection result; determining a face visible area which is not subject to an occluder and a face invisible area which is subject to the occluder in the target face image; and acquiring a target fusion image by fusing a virtual special effect and a face part matched in the target face image based on the face key point detection result, the face visible area and the face invisible area.

A method for hair analysis of a user. The method segmenting a hair region in an image of the user to obtain a segmented hair region image; identifying one or more dominant hair colour types in; determining RGB values of pixels of the one or more dominant hair colour types; implementing a hair colour dictionary with multiple tints of plurality of hair colours classified as different hair colour names, with each of the classified different hair colour names having a relative RGB value; comparing the determined RGB values of the pixels of the one or more dominant hair colour types and the relative RGB values for the classified different hair colour types to identify the relative RGB value with a minimum distance; and determining the hair colour name corresponding to the identified relative RGB value with the minimum distance.

An automatic facial makeup method includes receiving a makeup template, wherein the makeup template comprises a plurality of defined areas and a plurality of makeup instructions relating to application of at least one makeup to the plurality of defined areas, and wherein each of the plurality of defined areas is defined by a plurality of first feature points. A facial image comprising a facial block is received, wherein the facial block corresponds to a facial region depicted in the facial image. Makeup areas in the facial block are defined by mapping, for each of the plurality of defined areas, first feature points to second feature points in the facial block, wherein each second feature point has a same relative position on the facial block as a corresponding first feature point. A makeup component performs a makeup operation according to each makeup instruction on the makeup area corresponding to each makeup instruction.

A system and method for treating a surface of a user’s body part, including: obtaining target surface condition information from a user’s body part surface using one or more condition sensors taken from a group consisting of: an optical sensor and a bio-sensor; classifying the target surface condition information using a machine learning classifier to determine an initial target surface condition classification; obtaining treatment progress information using a combination of motion sensor data and surface condition information from the one or more condition sensors; and classifying the treatment progress information using a machine learning classifier to determine a progress classification for treating the initial target surface condition classification.

Provided are a method for processing a makeup and an electronic device. The specific implementation solution is: acquiring a search keyword; querying and displaying at least one candidate makeup image matching the search keyword; and acquiring a face image after makeup rendering in response to a selection operation of a target makeup image among each of the candidate makeup images, in which, the face image after makeup rendering is acquired by performing makeup rendering on a collected face image of a target object according to the target makeup image.

A system for making a template for printing a bespoke shaving mask that conforms to the shape of a portion of an individual's head or face is disclosed, wherein the bespoke shaving mask being positionable on said head or face to enable a desired hair style to be achieved during shaving. The system comprises a user input, data store and processor. The user input is arranged to receive a user selection of a desired facial hair style from a plurality of facial hair styles. The data store is arranged to store data representing a three dimensional scan of the user's head or face. The processor is arranged to map data representing said selected facial hair style onto said data representing said three dimensional scan to generate said template. Supplementary to the system there is required, a three dimensional scanner for producing the data representing a three dimensional scan of the user's head or face, and a three dimensional printer configured so as to print the bespoke shaving mask.

The present invention relates to a dispensing system (10) comprising an assembly having a dispenser (11) of at least one cosmetic product, in particular makeup, and having at least two outlet interfaces (110), each of which can be mounted removably on the dispenser, the dispenser having at least two different base products and allowing these to be delivered in variable proportions, the outlet interfaces being able to receive the one or more products delivered by the dispenser.

A portable custom cosmetic pigment dispenser creates a cosmetic pigment mixture that closely matches a person's skin color. The device is constructed with a color sensor at one end that scans the skin and records color values in a color space. A processor converts the color values into a colorspace. In one example, a user is presented with a sample of the color as determined by the processor and has an opportunity to accept or modify the color. Specific quantities of colored pigment are selected based on the corresponding weightings in the color space.

Various techniques pertain to a system having multiple mobile computing devices that includes a unified front end computing device and a mobile computing device of a client, a first artificial intelligence model operatively coupled to the multiple mobile computing devices and predicting a predicted body characteristic of a part of a body of the client for providing body care to the client, a second artificial intelligence model operatively coupled to the multiple mobile computing devices and predicting a list of products or services for the body care at least by executing a recommendation service on the list of products or services, and a data lake that is integrated with multiple application programming interfaces across multiple computing nodes and stores multiple types of data for predicting the list of products or services by the first artificial intelligence model and for predicting the personalized recommendation by the second artificial intelligence model.