Abstract: Disclosed are an information processing method and a terminal device. The method comprises: acquiring first information, wherein the first information is information to be processed by a terminal device; calling an operation instruction in a calculation apparatus to calculate the first information so as to obtain second information; and outputting the second information. By means of the examples in the present disclosure, a calculation apparatus of a terminal device can be used to call an operation instruction to process first information, so as to output second information of a target desired by a user, thereby improving the information processing efficiency. The present technical solution has advantages of a fast computation speed and high efficiency.

Abstract: A method for transforming hair relates to the field of image processing, and can achieve a function of transforming the hair with a more consistent and natural color with respect to that before the hair of a character is transformed. The method for transforming the hair includes: acquiring a first sample image and a second sample image; determining a first color guide map based on the first sample image and the second sample image; acquiring a first image processing model by training with the first sample image and the first color guide map as training data and the second sample image as supervision information; and transforming, based on the first image processing model, hair in an image selected by a user.

Abstract: The system obtains an indication of a shape of a cross-section of an elongated shape, and an orientation of the shape. Based on the shape of the cross-section of the elongated shape and the orientation of the shape, the system creates a nonuniform distribution of random numbers mapping uniformly distributed input values to multiple points on the surface of the elongated shape. The system provides an input value randomly selected from a uniform distribution of random numbers to the nonuniform distribution of random numbers to obtain a point among the multiple sample points on the surface of the elongated shape. The system applies a function to the input value to obtain an indication of a normal associated with the sample point among the multiple sample points. Finally, the system computes an illumination of the elongated shape using the normal.

Abstract: There is provided a method of decoding point cloud data, the method comprising: decoding a bitstream to obtain attribute information of point cloud data, acquiring attributes of the point cloud data using the decoded attribute information and reconstructing the point cloud data using the obtained attributes, wherein the attribute information contains bit depth information of each attribute of the point cloud data.

Abstract: A mechanism is described for facilitating memory handling and data management in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting multiple tables associated with multiple neural networks at multiple autonomous machines, where each of the multiple tables include an index. The method may further include combining the multiple tables and multiple indexes associated with the multiple tables into a single table and a single index, respectively, where the single table is communicated to the multiple autonomous machines to allow simultaneous processing of one or more portions of the single table using one or more memory devices and one or more processors of one or more of the multiple autonomous machines.

Abstract: A computer-implemented simulation method for analyzing schedule risk in a graphical schedule that includes (a) providing a base schedule that has graphical schedule objects including activities that are connected in a logic network by logic ties, the schedule culminating in a completion milestone, (b) sampling from probability distributions representing uncertainties in the durations of the activities to simulate activity durations from start dates to finish dates, (c) modifying the start date of one of the activities as a function of float or drift of the activity, and (d) using the logic ties, the sampled activity durations, and the modified start date to determine an output representing a simulated occurrence of the base schedule culminating in the completion milestone.

Abstract: An image signal processing device of the present disclosure includes a luminance correction section that performs, on a basis of information on a maximum output luminance value in a display section, luminance correction on an image signal to be supplied to the display section, the maximum output luminance value being variable.

Abstract: A method for interactively transforming a schedule display includes displaying a baseline schedule on a canvas with a target schedule as a graphical overlay, wherein the networked schedule objects are displayed according to one of a plurality of different display formats that are indicative of whether the objects are in a behind-schedule status. On the graphical overlay, a time position is shifted, or duration of at least one of the networked schedule objects of the baseline schedule is changed, such that at least one of the objects that was previously in the behind-schedule status is now in an ahead-of-schedule status or an on-schedule status. In response to the shift of the time position or change in duration, the display format of the objects that are impacted is changed with respect to whether the objects are in the behind-schedule status.

Abstract: A system is provided that visualizes soft constraints among tasks. The system displays a chart within a user interface, where the chart includes a timeline including one or more time units. The system further displays task indicators that correspond to tasks within the timeline of the chart. The system further determines a soft constraint among a first task and a second task of the tasks. The system further displays a soft connector that corresponds to the soft constraint within the timeline of the chart, where the soft connector connects a first task indicator that corresponds to the first task with a second task indicator that corresponds to the second task.

Abstract: A start fill scheme in a first layer that is initially non-transparent is displayed on a display of a computing device. An end fill scheme in a different second layer that overlaps the first layer and is initially at least partially transparent is displayed on the display. A first transparency value of the first layer is gradually changed to a value corresponding to transparency. A second transparency of the second layer is gradually changed to a value corresponding to non-transparency. Both the first transparency value and the second transparency value are gradually changed during a particular time period. Gradually changing the first transparency value and the second transparency value includes changing the values by a plurality of increments over the particular time period.

Abstract: A start fill scheme in a first layer that is initially non-transparent is displayed on a display of a computing device. An end fill scheme in a different second layer that overlaps the first layer and is initially at least partially transparent is displayed on the display. A first transparency value of the first layer is gradually changed to a value corresponding to transparency. A second transparency of the second layer is gradually changed to a value corresponding to non-transparency. Both the first transparency value and the second transparency value are gradually changed during a particular time period. Gradually changing the first transparency value and the second transparency value includes changing the values by a plurality of increments over the particular time period.

Abstract: In some examples, target object color analysis and tagging may include ascertaining an attribute of an image, and determining, based on the ascertained attribute, a target object that is to be identified and color tagged in the image. Based on a learning model, a plurality of objects may be extracted from the image. Based on a comparison of the target object and the plurality of extracted objects, the target object may be identified in the image. Color information may be extracted from the identified target object, and a plurality of color tags associated with the identified target object may be ascertained. A plurality of color distances may be determined between the color information and the plurality of color tags. Based on a determination of a minimum color distance from the plurality of color distances, a color tag that is to be assigned to the identified target object may be determined.

Abstract: The present invention discloses an automatic recognition and calibration method of medical color and grayscale images. It includes the step of gray and binary image processing of an original image, the step of detecting, counting and merging the feature pixels, the step of determining the scope of each color or grayscale image, and the step of using the different calibration curve to the image according to the image color properties within its range in a monitor with brightness adjustment and brightness stabilization. In the display screen constructed with a plurality of color images and a number of grayscale images, the present invention can correctly classify display range of each color or grayscale image, and take different calibration methods for different images within the display range. Under the premise of avoiding complex information, it can ensure the quality of displayed images, and improve the accuracy and efficiency of medical diagnosis.

Abstract: Systems, devices, and methods are provided for rendering images of hair using a statistical light scattering model for hair that approximates ground truth physical models. The model is significantly faster than other implementations of the Marschner hair model. The statistical light scattering model includes all the features of Marschner such as eccentricity for elliptical cross-sections, and extends them by adding azimuthal roughness control, consideration of natural fiber torsion, and full energy preserving. Adaptive Importance Sampling (AIS) is specialized to fit easily sampled distributions to bidirectional curve scattering density functions (BCSDFs) of the model.

Abstract: Provided is a job plan creation system capable of creating an efficient job plan when the job plan is reconfigured on the basis of the progress of the jobs after the completion of the jobs that day and by the job starting time of the following day, for example. A job plan creation system extracts an interrupted job that has been started but has not been completed, a delayed job that should have been started based on the job plan but has not been started, and a not-started job that is scheduled to be started on the job plan and so has not been started from the job plan, and creates the job plan while setting priorities in the order of the interrupted job, the delayed job and the not-started job.

Abstract: An image display method, adapted to an electronic device having a screen, an image capturing unit, and a light sensor, includes the following steps. A preview image captured by the image capturing unit is received and processed so as to generate a plurality of pixel luminance values of the preview image. A light illumination of an ambient light detected by the light sensor is received. An output Gamma lookup table among a plurality of Gamma lookup table is selected according to the pixel luminance values and the light illumination of the ambient light. An adjusted pixel luminance value corresponding to each of the pixel luminance values is generated based on the output Gamma lookup table so as to accordingly display the preview image on the screen with sunlight readability. An electronic device is further provided in the invention to implement the above method.

Abstract: An image display is disclosed. In one embodiment, the display includes a first display panel comprising i) a first image display portion configured to display a first image and ii) a light transmissive portion formed outside the first image display portion and configured to display a second image. The display further includes i) a second display panel spaced apart from the first display panel and configured to generate the second image and ii) an image shift unit configured to shift the generated second image toward the light transmissive portion of the first display panel so that the shifted second image is projected through the light transmissive portion.

Abstract: An image projector device includes a projection optical unit through which an image is projected and displayed, a recognition unit that recognizes a user's action related to processing of the image, and a control unit that generates and/or edits a drawing image based on the user's action recognized by the recognition unit and projects and displays the drawing image being generated and/or edited as a projected, displayed image through the projection optical unit.

Abstract: Processing of a digital image includes using a machine to convert numerical representations of colors in the digital image to lexical representations of the colors. The lexical representations may be used for image processing such as color reproduction. Examples of lexical-based color reproduction include, without limitation, using the lexical representations to perform color correction of an image display device, identifying potential problems with color shifts, generating statistics about lexical boundary crossings, and developing image processing pipelines.

Abstract: In one embodiment, pixels that cannot change their color due to the alpha blend mode and the color already stored in a render target are detected. For example, if destination alpha blending is used and a target pixel has an alpha value of 1.0, it will not change color regardless of the computed color of subsequently composited objects. Both computing the object colors and accessing the frame buffer can be avoided when such a case is detected. This may save computations and bandwidth in some embodiments.

Abstract: A technique for rendering an image of hair in a computer-generated scene is described. The scene includes a virtual light source and a hair virtual object comprising a material model. A hair shading function partly defining the material model is accessed. A set of random values is generated. The hair shading function is importance sampled by converting the set of random values into a set of light direction samples based on a Cauchy distribution. The probability density function of each converted light direction sample uses a Cauchy distribution. A light color value and a hair color value are computed for each light direction sample of the set of light direction samples. The light color values and the hair color values are weighted to determine a set of weighted values. A characteristic of a pixel representing part of the virtual object is determined based on the set of weighted values.

Abstract: An image organizing and editing application receives and edits the colors of a target image in relation to the colors of a reference image. The application displays vectorscope representations of the colors of a target image and the colors of a reference image. The application receives adjustments to the vectorscope representation of the target image and adjusts the colors of the target image according to the received adjustments to the representation.

Abstract: A system and method for digital hair coloring is described. A starting image of a subject including a hair region is obtained. At least one foreground selection of the starting image is obtained, the foreground selection including a portion of the hair region. At least one background selection of the starting image excluding the hair region is obtained. A matte defining a calculated foreground area of the starting image is calculated based on the foreground selection and the background selection. A target color distribution based on a target hair color is obtained. A color image is generated by applying a color transformation based on the target color distribution to at least the calculated foreground area of the starting image. An output image is generated from the colored image and the starting image.

Abstract: Provided are a fabric dryer and a method of controlling the fabric dryer. The fabric dryer includes a drum, a driving unit, a steam supply unit, a radical supply unit, a contamination removal function selector, and a controller. The drum is rotatably disposed and receives laundry. The driver rotates the drum. The steam supply unit supplies steam into the drum. The radical supply unit supplies radical into the drum. The contamination removal function selector selects a water-soluble contaminant or a fat-soluble contaminant. The controller controls the steam supply unit to supply steam in response to selection of the water-soluble-contaminant by the contamination removal function selector, and controls the radical supply unit to supply radical in response to selection of fat-soluble contaminant by the contamination removal function selector.

Abstract: A VCI (visual context indicator) color is assigned deterministically and proactively at runtime to user data contexts, and is not stored in the database, spreadsheet, or other context. VCI colors can be high contrast friendly colors. The same color is assigned to a given context each time the application runs unless the context's identifying property has changed. Color assignments are not made by users or by the application's designer, but are done instead by hashing from a context's identifying property into a VCI color palette containing, e.g., eight to sixteen colors. Unlike text-selection coloring, VCI coloring is based on the user data context's identifying property. The color assignment visually indicates context by displaying the context's name in the VCI color, or by displaying a graphical element in the VCI color near the context name. VCI color assignment also shows the occurrence and result of changes in user data context.

Abstract: A method is provided for applying a visual classification scheme to a map. A target region comprising a plurality of display units is identified within the map. It is then determined whether all of the display units within the target region can be assigned to the same class based on interpolated data values obtained for only a subset of the display units within the target region. If the determination is positive, then all of the display units within the target region are assigned to the same class and a visual indicator is assigned to each display unit in the target region based on the class to which the display unit was assigned. If the determination is negative, then the target region is divided into a plurality of subdivided target regions and the foregoing method is applied to each of the subdivided target regions.

Abstract: A computer-implemented method for icon generation. The method comprises determining a color from a first icon, generating a colored region comprising the determined color, and generating a composite image of the colored region and the first icon to produce a second icon, wherein the second icon is larger than the first icon.

Abstract: There is provided a display processing apparatus that displays an image represented by image data. The apparatus includes a storage unit configured to store the image data, an obtaining unit configured to obtain surrounding image data representing an image of surroundings in which the display processing apparatus is located, a determination unit configured to determine a color given to a region not smaller than a specific threshold region in a surrounding image represented by the obtained surrounding image data or the type of person determined from a face region of a person included in the surrounding image, a conversion unit configured to convert an image represented by the image data into a specific painting style associated with the determined color or the determine type of person, and a display unit configured to display a converted image represented by the converted image data.

Abstract: Disclosed are various embodiments for performing automated color authoring for images of items having multiple color variations. A photographically captured source image of an item is obtained. The source image corresponds to one color variation of the item. A selection mask defining the item in the source image is obtained. A target image of the item corresponding to another color variation is generated by automatically transforming the item defined by the selection mask in the source image to the other color variation based at least in part on data obtained from multiple previous manual color variation transformations for multiple other items.

Abstract: An expert color selection system that assists the user in selecting color combinations is disclosed. The expert system suggests combinations of colors that are harmonious with each other. The user may tune the level of harmony in the combination. The user may also select a color emotion for the color combination and set the emotion threshold. The suggested color combination can be used as interior or exterior paints and for color merchandise.

Abstract: Methods, apparatuses, and devices for rendering indoor maps on a display device of, for example, a mobile device, are presented. In one example, a processor of a mobile device may receive identifiers, such as alphanumeric identifiers, for points of interest (POI) and map at least portions of the identifiers to colors within a suitable color space, such as a RGB color space.

Abstract: According to one embodiment, a mobile electronic device includes an image projection unit for projecting an image, an image display unit for displaying an image, and a control unit for controlling the image projection unit and the image display unit. When the image projection unit projects an image and the image display unit displays an image, the control unit performs control for making the chromaticity of the image projected by the image projection unit and the chromaticity of the image displayed by the image display unit match each other.

Abstract: The invention is directed to a data processing method of displaying a radiation dose distribution in tissue of a patient and a corresponding program and computer running the program, the steps of the method being executed by a computer and comprising: a) acquiring medical image data comprising medical image information describing an anatomical body part; b) acquiring, based on the medical image data, irradiation eligibility data comprising irradiation eligibility information describing an eligibility class to which the anatomical body part belongs, the eligibility class describing the eligibility of the anatomical body part for irradiation with treatment radiation; c) acquiring dose distribution data comprising dose distribution information describing a radiation dose distribution in the anatomical body part; d) displaying, on a display device, the dose distribution information in the medical image information based on the irradiation eligibility data and based on using a colour range which represents the

Abstract: A system described herein includes a receiver component that receives a tree-structured dataset that includes multiple branches that are hierarchically related to one another. The system also includes an executor component that causes a programmable graphical processing unit to generate a Voronoi treemap based at least in part upon the tree-structured dataset, wherein the Voronoi treemap comprises a plurality of subareas that correspond to the multiple branches, and wherein the Voronoi treemap represents hierarchical relationships between the multiple branches.

Abstract: The display device includes a display component, a storage component, and a processing component. The storage component is configured to store a plurality of index tables. Each index table includes a plurality of input-output-pairs. Each input-output-pair corresponds to a plurality of sub-pixel coordinate values, and a plurality of color component values. The processing component is configured to receive and correspond to a user command, to search a corresponding index table from the index tables, to search a corresponding input-output-pair from the input-output-pairs in the corresponding index table, and to provide some of the sub-pixel coordinate values and some of the color component values corresponding to the corresponding input-output-pair to the display component. The display component is configured to display an image according to the some of the sub-pixel coordinate values and the some of the color component values corresponding to the corresponding input-output-pair.

Abstract: There is provided a color scheme changing apparatus capable of changing a color scheme on a screen immediately depending on the situation so that each piece of information that makes up the screen will always stand out within the entire screen according to the degree of importance thereof.

Abstract: There is provided a color scheme changing apparatus capable of changing a color scheme on a screen immediately depending on the situation so that each piece of information that makes up the screen will always stand out within the entire screen according to the degree of importance thereof.

Abstract: A color matching and color recommendation system. In one embodiment, the system may (i) receive a color input indicative of one or more colors, (ii) select at least one reference color from the one or more colors, (iii) associate the at least one reference color with at least one of a plurality of predefined color categories, and (iv) identify at least one related color based on the at least one of the plurality of predefined color categories. In another embodiment, the system may (i) receive a color input indicative of one or more colors, (ii) select at least one reference color from the one or more colors, and (iii) compare the at least one reference color to a plurality of predetermined colors to identify one or more related colors having color data closest to the at least one reference color.

Abstract: An image information processing system, which processes image information of a customer wearing products, includes: a customer information database, storing customer information in association with customer code information; and a product information database, enabling storage of product information, concerning the products that the customer wears, in association with order code information. Acquisition of the image information of the customer in the state of wearing products is enabled by a digital camera, and by means of a trial fitting catalog preparation process, a trial fitting catalog, in which the image information acquired by the digital camera unit are included with the customer code information of the customer, who wore the products, and the order code information on the products, is prepared and output by a printer.

Abstract: A technique for rendering an image of hair in a computer-generated scene is described. The scene includes a virtual light source and a hair virtual object comprising a material model. A hair shading function partly defining the material model is accessed. A set of random values is generated. The hair shading function is importance sampled by converting the set of random values into a set of light direction samples based on a Cauchy distribution. The probability density function of each converted light direction sample uses a Cauchy distribution. A light color value and a hair color value are computed for each light direction sample of the set of light direction samples. The light color values and the hair color values are weighted to determine a set of weighted values. A characteristic of a pixel representing part of the virtual object is determined based on the set of weighted values.

Abstract: Provided is a method for automatically determining an error of a user operation or a colorimeter caused when the colorimeter is manually slid to measure the colors of color patches on a row-by-row basis. Also provided is a method capable of determining an error or a scanning direction using a feature value obtained from the colorimetric values without using fixed reference and threshold values for each patch.

Abstract: An automated method for extracting highlighted regions in a scanned text documents includes color masking of highlight regions, extracting text from highlighted regions, recognizing the characters in extracted text optically and inserting the recognized characters to new document in order to easily identify highlighted text in scanned images. Using a two-layer multi-mask compression technology configured in a scanned export image path, edges and text regions can be extracted and together with the use of mask coordinates and associated mask colors, all highlighted texts can be easily identified and extracted. Optical Character Recognition (OCR) can then be utilized to appropriate summarization of different extracted highlighted texts.

Abstract: A digital image processing apparatus capable of displaying a color distribution chart and a method of operating the same is provided. The digital image processing apparatus includes a digital signal processing unit which detects digital color signals from an image input via an image photographing unit and calculates a color distribution chart that indicates a proportion of the detected color signals in the image. The apparatus and method can calculate and display a color distribution chart of a displayed image and change colors of the image into optimized colors.

Abstract: A system and a method for automatic selection of images, which are displayed on a screen. Embodiments of the invention relate to a system for automatically selecting electronic images depending on an input, which includes input analyzing means being adapted for receiving an input, for analyzing the received input for dominant colors, and for outputting the analyzed dominant colors, image analyzing means being adapted for receiving electronic images, for analyzing each electronic image for colors dominant in tile image and for outputting tile analyzed dominant colors, and image selection means being adapted for receiving the outputted dominant colors from the input analyzing means and the image analyzing means, for processing the received dominant colors, for selecting an electronic image based on the processing, and for signaling the selection. This allows to automatically influence lighting in an environment such as a home, retail or hospitality environment.

Abstract: Systems and methods are disclosed for using colors and color themes. One embodiment uses color(s) already included in a design to select and suggest other color(s) or color themes. For example, a design application may provide a listing of suggested color themes based on the colors used in a design area or in selected item(s) of a design area. Such a listing can be ordered based on assessments of how well the color themes match. The listing can also be updated in real time. For example, a designer adding a color to a design may trigger an update to the color theme listing.

Abstract: The subject technology provides a computer-implemented method for icon generation according to one aspect. The method comprises determining a color from a first icon, generating a colored region comprising the determined color, and generating a composite image of the colored region and the first icon to produce a second icon, wherein the second icon is larger than the first icon.

Abstract: A color calibration system in accordance with a preferred embodiment of the present invention comprises a display device provided with a color sensor for detecting a color temperature and illuminance of ambient light, a microcomputer, and a colorimeter for performing colorimetry on a display screen of the display device from the outside. The microcomputer calculates a target value by using a preset calculation equation and a detection result on the ambient light detected by the color sensor. Then, the microcomputer automatically performs color calibration of the display device so that a colorimetry result obtained by the colorimeter may agree with the target value.

Abstract: The Intelligent Graphics Plug Map System automatically converts plug maps into Intelligent Graphics with intelligent behaviors. The electronic trouble shooting system enables users to easily navigate large quantities of interrelated data and accurately analyze how each plug is used. The system automatically integrates additional information such as the function of each contact, what signals are connected to the contact, and what tools and processes are required to repair or test electrical circuitry. The system provides an Intelligent Plug Map Recognizer that associates a correct contact label for each contact associated with a plug map file defining a plug map; an HTML Generator that generates an HTML file for the plug map; a CGM4 File Builder that generates an intelligent plug map file from the plug map file; and a technical data system application that synchronizes plug map views when a contact associated with the plug map is identified.

Abstract: A method for reproducing an image on an imaging device, including measuring a set of spectral data for each of a plurality of colors from a set of color device values with a spectral measurement device; determining a first set of tristimulus values corresponding to each set of spectral data; defining a set of human observer color matching functions for each set of tristimulus values; determining a second set of tristimulus values for each set of spectral data using the human observer color matching functions; creating a first map from device-dependent coordinates to device-independent color coordinates; creating a second map from device-independent coordinates to device-dependent color coordinates based on the first map; obtaining image data comprising device-independent color coordinates; converting the image data coordinates into device color coordinates; and reproducing the image on the color device using the device color coordinates.

Abstract: Provided is a method for automatically determining an error of a user operation or a calorimeter caused when the calorimeter is manually slid to measure the colors of color patches on a row-by-row basis. Also provided is a method capable of determining an error or a scanning direction using a feature value obtained from the calorimetric values without using fixed reference and threshold values for each patch.