Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or colorspace conversions are provided. In various embodiments, one or more fiducial markers in an environment associated with the augmented reality device are updated and optimized in relation to environmental changes utilizing one or more color-space conversion techniques. Other embodiments are described and claimed.

A method and computer device for determining a spatial luminance distribution over at least one image of a scene illuminated by at least one illuminant (121) are provided. The image comprises RGB channels. A linear combination of the RGB channels is applied to determine the luminance distribution. The linear combination has a set of coefficients comprising a respective coefficient for each of the RGB channels. The coefficients are determined by identifying a spectral power distribution, SPD, of the at least one illuminant and performing a search to determine values of the set of coefficients that minimise a spectral mismatch between: a) the identified SPD weighted by the linear combination; and b) the identified SPD weighted by a luminosity function.

A PC causes a printing apparatus to print a color chart sheet including a color chart and a first image, the first image indicating a color measurement start position and a color measurement start direction of a colorimeter in a forward path in a leading line of the color chart.

Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or colorspace conversions are provided. In various embodiments, one or more fiducial markers in an environment associated with the augmented reality device are updated and optimized in relation to environmental changes utilizing one or more color-space conversion techniques. Other embodiments are described and claimed.

A method includes obtaining first color information for each of a plurality of first samples of a first target color with a color measurement device connected to a computing device including a display. A digital color image of at least one first target color is displayed on the display. An offset value for each first target color is determined such that the digital color image of each first target color matches the corresponding first target color on each of the first samples. A second sample including a second target color is scanned to obtain second color information. A processor of the computing device determines, using the offset values of the first target colors, an interpolated offset for the display such that the digital image of the second target color matches the second target color.

An information handling system executing a multimedia multi-user collaboration application (MMCA) may include a memory; a power management unit; a camera to capture video of a user participating in a video conference session; a processor configured to execute code instructions of a trained intelligent collaboration contextual session management system (ICCSMS) neural network to receive as inputs: the type of AV processing instruction modules enabled descriptive of how to visually transform a video frame during a video conference session executed by a multimedia multi-user collaboration application; and sensor data from a plurality of sensors including an ambient light sensor to detect ambient light around a participant of the video conference session and a color senser to detect color vectors in the video frame; the processor applies AV processing instruction adjustments to the enabled AV processing instruction modules received as output from the trained ICC SMS machine learning module to adjust the lighting and color vectors of the video frame based on the sensor inputs and the type of AV processing instruction modules.

A system includes an image processing device connected to a transmission and reception device that communicates with an external device, and a terminal device connected to a display device. The image processing device includes an evaluation value calculation processor that calculates, for each of two or more types of output modes, an evaluation value of output image data when image data is output in the output mode, and an evaluation information transmitter that transmits evaluation information including information based on the evaluation value for each of the output modes, to the terminal device, via the transmission and reception device. The terminal device includes a display controller that performs control of displaying, for each of the output modes, the information based on the evaluation value corresponding to the output mode, on the display device, if the evaluation information is received.

A PC presents, to a user, a difference between an actual speed and an ideal speed, the actual speed being a moving speed of a colorimeter when the user moves the colorimeter with respect to a color chart, the ideal speed being a moving speed of the colorimeter ideal for color measurement on the color chart.

Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to: divide an oblique aerial image into a plurality of sections, choose reference aerial image(s), having a consistent color distribution, for a first section and a second section; create a color-balancing transformation for the first and second sections of the oblique aerial image such that the first color distribution of the first section matches the consistent color distribution of the chosen reference aerial image and the second color distribution of the second section matches the consistent color distribution of the chosen reference aerial image; color-balance pixel(s) in the first and section sections of the oblique aerial image, such that at least one color-balancing transformation of the first and second sections matches the consistent color distribution of the reference aerial image(s).

A display and a color correction method are disclosed. The display includes a panel and a backlight module. The color correction method includes steps of: (a) sensing a real-time backlight intensity of the backlight module; (b) increasing a backlight intensity of the backlight module when the real-time backlight intensity is different from a standard backlight intensity of the backlight module; (c) sensing a compensated backlight intensity of the backlight module and estimating a first real-time color information of the panel according to the compensated backlight intensity and a first panel color characteristic information, wherein the first panel color characteristic information corresponds to the penetration characteristics of the panel; and (d) estimating a first color gain compensation value for the panel according to the first real-time color information and compensating the colors displayed on the panel when the panel displaying an image according to the first color gain compensation value.