Customized artificial fingernail generation systems

A computer-implemented method for generating a set of customized artificial fingernails for a user, the method comprising:

• receiving, by a computing device, a first image and one or more user attribute parameters, wherein the first image comprises a top-down view of a set of fingernails of the user and at least one reference object, and wherein the one or more user attribute parameters comprise demographic information corresponding to the user;
• detecting, by the computing device and for the set of fingernails using one or more machine learning models configured to detect an initial fingernail border for a fingernail in an image, a set of initial fingernail borders within the first image, wherein each initial fingernail border corresponds to a respective area, of a corresponding image, associated with a respective fingernail and distinguished from a remainder of the first image;
• dividing, by the computing device and for each fingernail of the set of fingernails, the respective area of the corresponding initial fingernail border into a corresponding first portion and a second portion;
• determining, by the computing device and based on the respective first portion associated with each initial fingernail border and a symmetrical projection of the respective first portion, a set of revised fingernail borders within the first image;
• determining, by the computing device and based on the at least one reference object in the first image, at least one scaling factor for the first image;
• determining, by the computing device and for the set of fingernails and based on a reference table, a set of curvature factors based on the user attribute parameters, wherein the reference table indicates, for different combinations of user attribute parameter values, a corresponding curvature factor comprising one or more curvature parameters for each respective fingernail of the set of fingernails;
• generating, by the computing device and for the set of fingernails, a set of scaled and flattened two-dimensional nail masks based on the set of revised fingernail borders, wherein generating a given scaled and flattened nail mask corresponding to a respective fingernail is based on applying a corresponding scaling factor, of the set of scaling factors, and a corresponding curvature factor, of the set of curvature factors, to the corresponding revised fingernail border, of the set of revised fingernail borders;
• and
• generating, by the computing device and based on the set of scaled and flattened two-dimensional nail masks, three-dimensional model data for production of a set of customized artificial nails corresponding to the set of fingernails by applying the corresponding curvature factors to the set of scaled and flattened two-dimensional nail masks.

A computing device comprising:

• one or more processors;
• and
• memory storing computer instructions that, when executed by the one or more processors, cause the computing device to generate a set of customized artificial fingernails for a user by causing the computing device to:
• receive a set of images and one or more user attribute parameters, wherein the set of images comprise top-down views of a set of fingernails of the user, wherein each image of the set of images comprises at least one reference object, and wherein the one or more user attribute parameters comprise demographic information corresponding to the user;
• detect, for the set of fingernails and by using one or more machine learning models configured to detect an inital fingernail border for a fingernail in an image, a set of initial fingernail borders within the set of images, wherein each initial fingernail border corresponds to a respective area, of a corresponding image, associated with a respective fingernail and distinguished from a remainder of the corresponding image;
• divide, for each fingernail of the set of fingernails, the respective area of the corresponding initial fingernail border into a corresponding first portion and a second portion;
• determine, based on the respective first portion associated with each initial fingernail border and a symmetrical projection of the respective first portion, a set of revised fingernail borders within the set of images;
• determine, based on a corresponding reference object in each respective image of the set of images, a set of scaling factors for the set of images;
• determine, for the set of fingernails and based on a reference table, a set of curvature factors based on the user attribute parameters, wherein the reference table indicates, for different combinations of user attribute parameter values, a corresponding curvature factor comprising one or more curvature parameters for each respective fingernail of the set of fingernails;
• generate, for the set of fingernails, a set of scaled and flattened two-dimensional nail masks based on the set of revised fingernail borders, wherein generating a given scaled and flattened nail mask corresponding to a respective fingernail is based on applying a corresponding scaling factor, of the set of scaling factors, and a corresponding curvature factor, of the set of curvature factors, to the corresponding revised fingernail border, of the set of revised fingernail borders;
• and
• generate, based on the set of scaled and flattened two dimensional nail masks, three-dimensional model data for production of a set of customized artificial nails corresponding to the set of fingernails by applying the corresponding curvature factors to the set of scaled and flattened two-dimensional nail masks.