A system generates a prediction model for makeup color matching. The system includes a data storage device and a modeling engine. The data storage device stores a plurality of color sets comprising a skin color set, a makeup color set, and a target color set. The modeling engine is coupled to the data storage device and configured to generate a prediction model and an output color set. The prediction model models generation of the target color set based on inputs from the skin color set and the makeup color set. The output color set approximates the target color set with a predictable accuracy.

A system and method of determining the condition of a surface by scanning the surface of an object and detecting and measuring the electromagnetic spectrum being directed from the surface to obtain raw data from a plurality of points along the surface and assigning values for each particular data type of raw data and creating a color space for viewing by an operator to determine the condition of the surface.

The examples of the disclosure disclose measurement method and device of light source parameters, an illumination system and a terminal apparatus. The method includes: collecting signal values of a light source to be measured from a color sensor, the color sensor including at least six response channels; preprocessing the signal values that have been collected, the preprocessing including normalization processing and standardization processing; constructing model features according to the signal values that have been preprocessed, and determining a light source type of the light source to be measured according to the model features; inputting the model features and the light source type that has been determined into a color rendering index prediction model to obtain a color rendering index of the light source to be measured.

An image forming apparatus that prints an adjustment pattern on a sheet includes a generator and an image former. The adjustment pattern is for correcting a color value obtained by reading a second patch region on the sheet with a second reader based on a color value obtained by reading a first patch region on the sheet with a first reader. The generator generates image data of the adjustment pattern, and the image former performs printing based on the image data. The adjustment pattern includes a first patch printed in the first patch region and a second patch printed in a region other than the first patch region in the second patch region. The second patch includes a common color patch in a same color as a color of the first patch, and a size of the first patch is larger than a size of the second patch.

A system generates a prediction model for makeup color matching. The system includes a data storage device and a modeling engine. The data storage device stores a plurality of color sets comprising a skin color set, a makeup color set, and a target color set. The modeling engine is coupled to the data storage device and configured to generate a prediction model and an output color set. The prediction model models generation of the target color set based on inputs from the skin color set and the makeup color set. The output color set approximates the target color set with a predictable accuracy.

A method for achieving a target white chromaticity value and a target white light output value on a display device includes measuring a chromaticity value of a first primary color, a chromaticity value of a first secondary color, and a chromaticity value of a second secondary color on the display device using a photometer. The method also includes measuring a current white chromaticity value and a current white light output value on the display device using the photometer. The method also includes generating a plot of a color gamut triangle based at least partially upon the measured chromaticity value of the first primary color, the measured chromaticity value of the first secondary color, the measured chromaticity value of the second secondary color, and the measured current white chromaticity value.

A method for generating a calibration parameter for light sources includes activating at least one LED of a plurality of multicolor LEDs of a light source and measuring a color of the at least one LED in a first color space. The method also includes scaling the color of the at least one LED relative to the plurality of multicolor LEDs, obtaining a plurality of scaled color measurements, and calculating a calibration matrix based on the plurality of scaled color measurements.

In particular, a method performed by one or more devices is disclosed, the method comprising: obtaining an intensity information item representative of a spectral image resulting from a soiling of a textile and/or from at least one part of a textile; determining at least one output variable dependent on the soiling of the textile and/or at least one property of the textile from the intensity information item, wherein the output variable is determined by employing an adaptive evaluation algorithm, in particular an artificial neural network, wherein parameters of the adaptive evaluation algorithm are calibrated based on a plurality of training cases; outputting or triggering outputting of the at least one output variable. Furthermore, a device and a system for performing the subject method is disclosed.

Disclosed herein is a method for generating a digital representation of coatings on car parts. The method provides improved texture blending for the rendering of car paint sparkle. Further disclosed herein is a respective computer system.

In accordance with one or more implementations of the apparatus, system and methods described, a sample measurement device is provided that is configured to measure the color of a sample. The sample measurement device includes at least one light source configured to illuminate the sample; at least one light sensor configured to output a signal in response to light emitted by light source and reflected off the sample being received by at least a portion of the light sensor; and a processor configured to receive the signal and calculate a color value for the sample, the processor configured to calculate the color value by at least adjusting the signal using a calibration factor.