113 results about "Color map" patented technology

The invention relates to the technical field of laser measuring instruments, and provides a plug-in type handheld laser scanner and method based on light spot fine positioning, and the method is characterized in that a light spot scanning plug-in is accessed through a standardized interface of an equipment main body, and the light spot scanning plug-in supports a transverse arrangement mode and a longitudinal arrangement mode; acquiring centimeter-level coarse positioning information by using the equipment main body; according to the arrangement mode of the light spot scanning plug-in, controlling the light spot scanning plug-in to carry out light spot scanning according to a corresponding scanning strategy; in the light spot scanning process, depth data and a color image of the target object are synchronously collected; performing fusion processing on the centimeter-level coarse positioning information, the submillimeter-level fine measurement data, the depth data and the color image, and constructing point cloud data of the target object; and the detail precision and the texture effect of the point cloud data are optimized based on the depth data and the color image, so that the problem of target loss caused by contradiction between efficiency and precision of a traditional laser measuring instrument can be solved.

A method, apparatus, non-transitory computer readable medium, and system for data generation include obtaining a text prompt describing an object within a scene and generating, using a text-to-mask generation model and based on the text prompt, a color map corresponding to the scene. The color map indicates a region corresponding to the object from the text prompt. An image segmentation mask is generated based on the color map. The image segmentation mask comprises a plurality of regions corresponding to a plurality of image elements in the scene including the region corresponding to the object from the text prompt.

The invention discloses a three-dimensional scene reconstruction method for obtaining real three-dimensional data based on simple shooting, and the method comprises the steps: 1, carrying out the surrounding video shooting of a target object through a camera of a cellphone, and obtaining the video data containing the target object; 2, decomposing the video data into a plurality of image sequences according to frames, and optimizing the image sequences to generate an original image sequence; 3, performing streaming segmentation on the original image set frame by frame to obtain a mask sequence of the target object, and obtaining a foreground image sequence according to the mask sequence; step 4, performing camera pose estimation on the original image set; step 5, inputting the foreground image sequence and corresponding camera internal and external parameters into a 2DGS model to generate an initial three-dimensional scene; and step 6, performing fine processing on the generated three-dimensional scene, generating a color map and a depth map in the 2D three-dimensional scene for mapping a voxel network, and extracting a contour surface on the voxel network to obtain a final three-dimensional scene.

The invention relates to the technical field of machine vision detection, and discloses a color printed matter quality detection method which comprises the following steps: acquiring original light field response data of the surface of a printed matter in a preset structure light field; carrying out decoupling calculation on the data to generate a basic color graph representing intrinsic colors, a glossiness graph representing process characteristics and a surface normal graph representing geometrical morphology; the method is characterized in that a texture area is identified based on a surface normal graph of a standard sample, and a dynamic reference model is established for the area in combination with a basic color graph so as to provide a self-adaptive color detection threshold value; and finally, detecting color, structure and process flaws in parallel by utilizing each physical characteristic spectrum and the dynamic reference model. According to the method, through decoupling and information guidance of physical dimensions, interference of physical textures on color detection can be fundamentally inhibited, the false alarm rate is remarkably reduced, meanwhile, multi-dimensional comprehensive evaluation of flaws is achieved, and the detection result is objective and reliable.

Systems and methods for visualizing time-varying two-dimensional (2D) color maps are disclosed. The 2D color map may include luminance values ​​corresponding to hues of varying intensities that change over time. In some 2D color maps, the hue used for the intensity scale may change over time, while the luminance of the pixels may remain constant. In some 2D color maps, both hue and luminance may change over time relative to intensity.

A plurality of training examples is accessed, each training example comprising an image of a scene and a pose of a viewpoint from which the image was captured. A neural radiance field is trained using the training examples. A plurality of generated images is computed, by, for each of a plurality of randomly selected viewpoints, generating a color image and a depth image of the scene from the neural radiance field. A neural network is trained using the generated images.

The invention relates to the technical field of synthetic aperture radar image processing, and discloses a PIX2PIX model-based SAR image grey-scale map coloring method and system, and the method comprises the steps: building a PIX2PIX model, carrying out the filtering and downsampling of the SAR image grey-scale map, and converting the SAR image grey-scale map into an SAR image color map through the PIX2PIX model; according to the RGB ratio of the color image of the SAR image and the gray value of the gray-scale image of the SAR image, constructing a linear unary equation about the red channel value of the color image of the SAR image; according to the red channel value of the SAR image color map and the RGB ratio of the SAR image color map, the blue channel value and the green channel value of the SAR image color map are calculated, and the technical problems that an existing SAR image gray-scale map coloring method is low in automation degree, poor in color authenticity, weak in channel coordination and insufficient in detail reservation are solved.

This invention discloses a self-supervised depth completion method, system, and terminal based on 3D feature extraction and fusion. The method includes: acquiring a discrete depth map and a color map; preprocessing the discrete depth map to obtain a target discrete depth map; downsampling the color map to obtain a target color feature map; performing a preset number of downsampling and feature extraction operations on the target discrete depth map and the color map to obtain a first color feature map and a first target discrete depth feature map; performing channel concatenation and upsampling operations to obtain a fused image feature map; inputting the fused image feature map and the target discrete depth map into a cross-attention feature fusion module to output the fused feature map; and performing channel concatenation and upsampling on the target color feature map and the fused feature map to obtain a completed depth map. This invention can obtain a completed depth map after information completion, thereby enabling accurate processing of subsequent computer vision tasks.

The embodiment of the invention provides an image editing method and device, a computer readable medium and electronic equipment. The method comprises the steps that an original image, a single-color image, first description information of a first object in the original image and second description information of a second object in a target image are acquired; encoding the original image into a first feature, encoding the single-color image into a second feature, and constructing a text feature according to the first description information and the second description information; splicing the first feature and the second feature, and adding the splicing result and the noise graph to obtain a first hidden space feature; performing forward diffusion operation based on the first hidden space feature to obtain a second hidden space feature; performing denoising operation of multiple time steps on the second hidden space feature based on the text feature to obtain a third hidden space feature; and generating a target image matched with the second description information according to the third hidden space feature. According to the scheme provided by the embodiment of the invention, the image editing efficiency and the image editability can be greatly improved.

Provided is a compensation device for a display apparatus, including an image-acquiring assembly and a control assembly, wherein the image-acquiring assembly is configured to acquire a first image in a case that the display apparatus displays a picture of a first color; the control assembly is configured to determine a reference region in the first image based on a position of a region to be compensated in the first image in a first direction, wherein the reference region has a same position as the region to be compensated in the first direction, the reference region being greater than the region to be compensated; and the control assembly is configured to determine compensation data of the region to be compensated based on average brightness of the reference region and average brightness of the region to be compensated.

The application discloses a thunder and lightning comprehensive detection early warning system and a thunder and lightning detection method thereof, which comprises an atmospheric electric field detection module, a meteorological radar module and a system module. The atmospheric electric field detection module is used for detecting characteristic value A of a thundercloud in a specific area, which at least contains electric field data. The meteorological radar module is used for detecting characteristic value B of the thundercloud in the specific area, which at least contains geographic position data. The system module is used for connecting the atmospheric electric field detection module and the meteorological radar module, and combining the received characteristic value A with the characteristic value B to form thunder and lightning early warning information. The application combines the meteorological radar and the atmospheric electric field equipment, embeds the meteorological radar device into the atmospheric electric field instrument, detects echo data by the radar, converts the echo data into an echo intensity color map, and superimposes the color map on a map to form a thunder and lightning detection early warning radar system.

The invention belongs to the technical field of burn wound analysis. According to the skin burn analysis method and system based on contrast agent blood perfusion, firstly, a fluorescence sequence after a contrast agent is injected is obtained, and a preprocessing sequence is generated through area cutting and down-sampling; a fluorescence intensity time curve of each pixel point is extracted, peak time is determined, and statistics is carried out to construct a peak time histogram; performing smooth denoising, extreme value detection and weak peak removal on the histogram, and adaptively selecting a threshold value for distinguishing normal and burnt tissues; generating an initial mask by using the threshold value, and performing connected domain analysis and morphological post-processing to obtain a target burn area mask; and finally, generating a pseudo-color image in combination with peak time. According to the method, the time dynamic characteristic of blood perfusion is fully utilized, the burn area can be accurately segmented and the microcirculation disturbance degree can be visually presented without depending on skin textures or a large amount of training data, and the objectivity and accuracy of burn depth evaluation are remarkably improved.

The invention discloses a cross-shaft structure crack detection method based on FERT, and belongs to the technical field of shaft detection. The method comprises the following steps: arranging a stainless steel pipe in two water detection holes between which a cross-shaft structure crack which is not intersected with the water detection holes exists, brushing an insulating coating on the stainless steel pipe, symmetrically arranging a plurality of electrodes on the coating, obtaining a sensitivity matrix through a numerical method, measuring the voltage difference between emission and backflow electrodes based on a focusing principle, obtaining a voltage difference matrix, and calculating the sensitivity of the cross-shaft structure crack. A Landweber algorithm is adopted to obtain a final resistivity matrix; different colors are given to different electrical resistivity in the final electrical resistivity matrix, so that the electrical resistivity matrix is converted into a pseudo-color graph, image reconstruction of the stratum between the two water exploration holes is achieved, and various geometric information of the cross-shaft crack between the holes is visually displayed. The method is simple in step, clear in measurement imaging effect and good in detection effect.

The invention discloses a plane transmission and reflection reconstruction method based on three-dimensional Gaussian, and the method comprises the steps: firstly, projecting the three-dimensional Gaussian to a screen space and accumulating colors for a given visual angle based on the joint representation of the three-dimensional Gaussian which represents plane transmission and reflection at the same time and a reflection plane of a modeling reflection model, and obtaining a transmission color graph; the three-dimensional gauss are symmetrical according to a reflection plane, and a reflection color map is obtained through rendering in the same mode; and finally, calculating a reflection coefficient according to a Fresnel reflection model on the reflection plane, and weighting and combining the transmission color map and the reflection color map to obtain a final rendering result. According to the method, a multi-stage optimization strategy is also designed to realize accurate separation and reconstruction of transmission and reflection, and real-time high-fidelity new view angle synthesis can be realized in a scene containing complex plane transmission and reflection.

This application relates to a high-fidelity real-time rendering method, apparatus, device, and storage medium for dynamic digital humans. It includes receiving multimodal driving signals, mapping them to expression and pose parameters, inputting a parameterized human model to generate standard spatial geometry and skinning weights, and constructing a three-dimensional Gaussian sputtering field to deform to the target pose to obtain dynamic geometric data; arranging sparse virtual cameras in the target pose space, and simultaneously rendering and generating a sparse reference view set containing color and depth within a single rendering call; determining dense virtual viewpoints based on the display device's viewpoint parameters, and generating depth range textures for each dense viewpoint through downsampling depth reprojection and point sputtering techniques; determining ray step intervals using the depth range textures, sampling along the rays and fusing signed distance values ​​truncated from multiple viewpoints to generate surface position textures; projecting the surface positions onto sparse view sampled colors, fusing to generate a dense view color image, and adapting it for output to different display devices.

The invention discloses a method for building a multi-layer material stacking structure in a three-dimensional space based on color mapping to achieve three-dimensional model multi-color printing, and belongs to the technical field of 3D printing. The method aims at solving the problem that the color gamut of an existing FDM printing technology is limited. The core of the method is that after a three-dimensional model with a color map is obtained, a multi-layer stacking scheme composed of multiple preset basic color semitransparent materials is calculated through a color decomposition algorithm according to each target color on the map; according to the scheme, generating a multi-layer developing structure with physical thickness along the normal direction of the surface of the model, and converting the multi-layer developing structure into a printing path file (G-code) containing a multi-material switching instruction; and finally, the 3D printer executes printing according to the path file. Two-dimensional color information is mapped into a material stacking structure in a three-dimensional space, the transmission color mixing effect of materials is utilized, the color gamut is greatly expanded under a limited base material, and the method has the advantages of being low in cost and high in compatibility.

The application provides a color painting image reconstruction system and method based on brightness and saturation information matching, and relates to the field of color painting image reconstruction.The application comprises HSI color model conversion, Origin software fitting and reconstructed RGB image;the HSI color model conversion is to convert the measured different color RGB color space into HSI color space;the Origin software fitting is to import the HSI color space data into Origin software for data fitting;the reconstructed RGB image is to reconstruct the obtained HSI color space after fitting to obtain the RGB color image.Through the color painting image reconstruction system, the object color information is efficiently reconstructed, the spectral reflectance characteristics are accurately presented, and a scientific and reliable solution is provided for subsequent 3D object color reconstruction and artistic product digital copying.

The invention relates to the technical field of optical detection, in particular to a DOT read-write table contrast detection method, system and device and a medium. The method comprises the following steps: acquiring an imaging image of a contrast detection image arranged on an optical detection jig by a read-write table, wherein the contrast detection image comprises a first color image and a second color image; determining a plurality of sampling points in the imaged image, and obtaining brightness values of the sampling points; the contrast detection index of the read-write table is determined according to the contrast of the hot spot area and the contrast of the non-hot spot area, the contrast of the hot spot area is determined based on the brightness value of the first sampling point and the brightness value of the second sampling point, and the contrast of the non-hot spot area is determined based on the brightness value of the third sampling point and the brightness value of the fourth sampling point. According to the invention, the problem of lack of contrast detection management and control of the read-write table in the prior art is solved. And meanwhile, rapid and effective detection of the contrast ratio can be realized through the detection mode.

The present application relates to a kind of chicken weight estimation method based on decision tree model and preferred feature, by obtaining the color video and depth video of chicken in preset posture in preset time period, obtain chicken color video and chicken depth video, extract chicken posture key frame color map and chicken posture key frame depth map, further process to obtain segmentation mask map, segmented color map and segmented depth map, obtain chicken one-dimensional feature, extract segmentation mask map feature to obtain chicken two-dimensional feature, and extract the feature of segmented color map and segmented depth map to obtain chicken three-dimensional feature, construct chicken weight estimation benchmark model based on decision tree, then combine chicken feature importance ranking to select the optimal chicken feature optimization parameter set and construct chicken weight estimation optimization model. In this way, chicken weight is accurately estimated using chicken feature optimization parameter set and chicken weight estimation optimization model.

To suppress image distortion when changing the magnification in the sub-scanning direction of the image to be formed on the recording medium page by page. [Solution] The image forming apparatus generates a line period signal for each color at a period corresponding to the resolution of the image in the sub-scanning direction. The image forming apparatus controls the period of the line period signal according to the magnification in the sub-scanning direction for each page, and also controls the writing timing of the individual images for each color. In particular, the image forming apparatus switches the period of the line period signal for each page based on the writing timing of the individual images for each color.

The invention discloses an fMRI video nerve decoding method based on visual perception and semantic consistency. The method comprises the following steps: acquiring an fMRI signal and corresponding video data; an fMRI input vector is constructed; extracting a color map and a space depth map from the video data, and embedding frame semantics and text description semantics; the fMRI input vector is used as a feature, the color map and the space depth map are used as labels, a visual perception path is trained based on a double-stage trained double-tower mask auto-encoder, and prediction of the color map and prediction of the space depth map are obtained; the fMRI input vector is used as a feature, frame semantic embedding and text description semantic embedding are used as tags, a semantic path is trained, and prediction of fMRI semantic embedding is obtained; and performing multi-condition guidance on the video diffusion model based on prediction of the color map, the space depth map and fMRI semantic embedding to obtain decoding output. According to the method, fMRI video nerve decoding with high visual perception consistency and semantic consistency can be realized.

The invention discloses an automobile data recorder test method, system and device, a computer storage medium and a computer program product, and the method comprises the steps: controlling a display to play a test video circularly, and inserting target video segments at preset time intervals in the playing process; the target video segment comprises a plurality of same standard color images; acquiring a video stream played by the display by using an automobile data recorder, and intercepting a target test image corresponding to a test time point from the video stream; the test time point is a time point when the display plays the target video segment every time; performing color comparison on the target test image and the standard color image to obtain a target color difference value; and generating test data of the automobile data recorder according to the target color difference value.

This invention discloses a method and system for detecting airflow uniformity based on color-changing reactions. The method includes five steps: channel adaptation, color-changing substance filling, airflow introduction, color image acquisition and analysis, and uniformity judgment. By selecting a matching channel structure, filling the channel with a color-changing substance, and introducing the target airflow according to actual operating conditions, the color-changing process is recorded using high-speed imaging, and color parameters are quantified. The airflow distribution state is determined by combining color change uniformity, time difference, and pressure parameters. A color change heatmap can also be generated to visually display the airflow distribution. This invention replaces complex detection signals with visualized color-changing signals, eliminating the need for expensive specialized equipment. The color-changing substance and target airflow can be flexibly interchanged, adapting to various gases and application scenarios. The detection results are intuitive, quantitatively accurate, simple to implement, low-cost, and highly versatile, and can be widely applied to the detection and optimization of airflow distribution in various industrial equipment involving gas flow.

The present application discloses a data transmission method and apparatus, a computer device (8), a medium, and a product. The method comprises: (S201) acquiring a display image layer, wherein the display image layer comprises a transparency layer and a color layer; (S202) dividing the transparency layer of the display image layer to obtain a divided transparency layer; (S203) mapping and compositing the divided transparency layer to obtain M first RGB images, wherein M is an integer greater than 1; and (S204) splicing the M first RGB images with a second RGB image constituted by the color layer to obtain a target RGB image, and transmitting the target RGB image. In the present application, during transmission of the display image layer, operations such as dividing, mapping, and compositing are performed on the transparency layer comprised in the display image layer, so as to optimize a transmission mode of transparency layer information, thereby improving the efficiency, stability, and reliability of transparency layer information transmission.

The invention relates to the technical field of pre-splitting blasting blast hole identification, in particular to a tunnel blasting rear half hole identification method and system based on image vision. Comprising the steps of obtaining a tunnel face image containing a standard mark half-hole calibration target, sequentially executing illumination correction and rock debris noise reduction processing, converting the processed image into a grayscale image and a color image, constructing a candidate region recognition model, primarily screening half-hole candidate regions by utilizing the candidate region recognition model, and outputting candidate region masks; constructing a half-hole feature encoder and a shadow interference encoder, introducing quantitative indexes of half-hole feature confidence and shadow interference intensity to calculate an attention weight, and outputting an optimized half-hole feature map through residual connection; effective half-hole clusters in the optimized half-hole feature map are screened through a density clustering algorithm, and actual half-hole parameters and the half-hole rate of the tunnel face are calculated based on the effective half-hole clusters. Half-hole exclusive features are extracted, shadow interference is suppressed in a targeted manner, and accurate identification of half-holes in a shadow environment is realized.

An information processing device that: acquires image data of a person from whom a target object is derived; generates a color map, which is a texture map representing the color of the appearance of the target object, on the basis of the acquired image data of the person; and generates a subcutaneous tissue map, which is a texture map for determining the effect of the person's subcutaneous tissue on the appearance of the target object, on the basis of the acquired image data of the person.

Glasses are used to determine a color of each position of a face of a user by a computer system based on first image data (with-glasses face image) obtained by capturing an image of the user wearing the glasses, and second image data (no-glasses face image) obtained by capturing an image of the user without the glasses. The glasses include a position determination marker at a predetermined position and has a predetermined color (color pattern) at a predetermined position. The computer system determines the color of each position of the face of the user based on the first image data and the second image data using the marker and the color.

According to an embodiment of the disclosure, an electronic device includes a camera, a display, a memory, and at least one processor electrically connected to the display and the memory. The processor obtains an input selecting a first image, generates a color filter by comparing the first image with a second image having a different color pattern from the first image, obtains a third image, and generates a fourth image by applying the generated color filter to the third image. The processor derives a function and a coefficient of the function by comparing color values of pixels of the first image and the second image. The color filter can include the derived function, the coefficient of the function, and a color lookup table generated based on the derived function by comparing the first image and the second image. The processor stores the generated color filter in the memory and generates the fourth image by applying the stored color filter to the third image.

The present invention relates to a printing system, a storage medium, a computer device, and an image forming device, and aims to reduce a printing target image design constraint. An information processing device of the present invention has a display control section that displays a print setting screen for receiving a print setting for superimposing a specific color image on a print target image on a display section; a storage location information creating section that, after the print setting has been received through the print setting screen, transmits a specific color image related to the print setting to an image management server through a network, and acquires storage location information indicating a storage location of the specific color image from the image management server; and a first communication section that sends print data including a print instruction including the print setting, an image of a print target, and the acquired storage location information to an image forming device.

The disclosure generally relates to a system for creating color-customizable customized beverages (e.g., adding various color ingredients to a beverage to customize the color of the beverage). The system may obtain color mappings (e.g., manual color mappings) that map particular color ingredients to particular colors. The system can generate a three-dimensional color map based on the color mappings to identify additional color mappings. The system can receive a request for a particular beverage with a particular color, and based on the three-dimensional color map, the system can identify a color mapping for the particular color. The system can output an instruction set for the color mapping and / or can cause an automated dispensing platform to dispense one or more particular color ingredients for the beverage based on the color mapping.