Disclosed herein is a computer-implemented method, a respective device, and a non-transitory computer-readable medium. The method includes: obtaining color values, texture values and digital images of a target coating, retrieving from a database one or more preliminary matching formulas based on the color and/or texture values obtained for the target coating, determining sparkle points within the respective obtained images and within the respective images associated with the one or more preliminary matching formulas, creating subimages of each sparkle point from the respective images, providing the created subimages to a convolutional neural network, the convolutional neural network being trained to correlate a respective subimage of a respective sparkle point with a pigment and/or pigment class, and determining, based on an output of the neural network, at least one of the one or more preliminary matching formulas as the formula(s) best matching the target coating.

Systems and methods for color selection are provided. A user device displays room types on a display, receives a room type selection indicating a particular room type, displays types of feelings, and receives a type of feeling selection indicating a particular type of feeling. The user device accesses a lookup table that associates the room types and types of feelings with paint colors such that each possible combination of room type and type of feeling is associated with a subset of paint colors. The user device determines the associated subset of paint colors in the lookup table for the combination of the particular room type and the particular type of feeling and displays the associated subset of paint colors as recommended paint colors for the combination of the particular room type and the particular type of feeling on the display of the user device.

The described herein is a method for identifying a best match to a metal deco target color and distributing the best match to interested parties for ongoing validation. The method creates a digital proofing database that matches, for example, PantoneLIVE™ target colors and sets a defined digital inkjet standard to within desired tolerances. Also described is a system that implements the method.

Systems and methods for color selection are provided. A user device displays room types on a display, receives a room type selection indicating a particular room type, displays types of feelings, and receives a type of feeling selection indicating a particular type of feeling. The user device accesses a lookup table that associates the room types and types of feelings with paint colors such that each possible combination of room type and type of feeling is associated with a subset of paint colors. The user device determines the associated subset of paint colors in the lookup table for the combination of the particular room type and the particular type of feeling and displays the associated subset of paint colors as recommended paint colors for the combination of the particular room type and the particular type of feeling on the display of the user device.

In a spraying process for coating a substrate with a substance atomised in a stream of gas, a spray head is used to generate a stream of gas that acts upon the substrate. The substance is present in a syringe-like application container equipped with an application tip. The application tip of the application container containing the substance is introduced into the stream of gas outside the spray head at a distance therefrom and transversely with respect to the main direction of flow of the stream of gas, and the substance is introduced from the application container into the stream of gas at that location.

A method of color mapping color values of an oligochromatic pattern comprising the following steps: determining an image-gamut, in a N-dimensional device independent color system (ND-DICS), of said oligochromatic pattern; wherein said image-gamut comprises said color values of said oligochromatic pattern; and determining a skeleton (500) of said image-gamut; and performing an adaption on said skeleton (500) in said ND-DICS by a set of N-dimensional-transforming steps (30) and determining for points of said skeleton (500), a path in said ND-DICS that corresponds to said adaption; and color mapping said color values, of said oligochromatic pattern, based on said determined paths (35) of said points of said skeleton (500).

A mixing and paint-making device and method for making paint are described. Embodiments of the paint-making device include a first and second palette hingedly coupled to a base. The base includes a paint pot shaking component configured to agitate and/or translate a paint pot. The paint pot shaking component includes a series of gears and pistons that interact to produce a shaking motion for a paint pot coupled to the paint pot shaking component. In one embodiment, the paint pot shaking component includes a crank gear adjacent a combination gear that contacts a slide crankshaft. The slide crankshaft is coupled to a slide crank arm that is secured by slide bracket coupled to the base. A paint pot harness holds a paint pot during agitation and moves in an upward and downward motion corresponding to the motion of the slide crank arm.

In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.

A method of color mapping color values of an oligochromatic pattern comprising the following steps: determining an image-gamut, in a N-dimensional device independent color system (ND-DICS), of said oligochromatic pattern; wherein said image-gamut comprises said color values of said oligochromatic pattern; and determining a skeleton (500) of said image-gamut; and performing an adaption on said skeleton (500) in said ND-DICS by a set of N-dimensional-transforming steps (30) and determining for points of said skeleton (500), a path in said ND-DICS that corresponds to said adaption; and color mapping said color values, of said oligochromatic pattern, based on said determined paths (35) of said points of said skeleton (500).

The present invention relates to a method for determining a parameter specific to the custom-made coloring of hairs of a given individual, the method including the following steps: receiving magnitudes representative of a first target color and of a first initial color in a colorimetric space, determining a cosmetic product composition according to magnitudes received and a colorimetric rendering model, applying a cosmetic product having the determined composition on the hairs to be colored of the individual in order to obtain colored hairs, evaluating the color of the colored hairs in order to a magnitude representative of a first final color in the colorimetric space, and determining a colorimetric deviation parameter specific to the individual according to magnitudes representative of the first final color and of the first target color.