65 results about "Pixel mapping" patented technology

The invention relates to the technical field of target tracking, in particular to a panoramic target tracking method and device based on fusion positioning, equipment and a storage medium. Comprising the steps of obtaining a panoramic video stream and a positioning coordinate sequence; performing pixel mapping on each positioning coordinate in the positioning coordinate sequence to obtain a current mapping coordinate and a historical mapping coordinate; performing delay compensation on the current mapping coordinates based on the historical mapping coordinates to obtain predicted mapping coordinates; performing target detection on the panoramic video stream to obtain a visual coordinate set of the current frame, and performing spatial matching on the predicted mapping coordinate and each visual coordinate in the visual coordinate set to form a matching candidate set; if the matching candidate set is null, outputting the predicted mapping coordinate as a target position coordinate; and if the matching candidate set comprises at least one candidate visual coordinate, outputting the candidate visual coordinate closest to the predicted mapping coordinate as a target position coordinate. According to the invention, the tracking performance under a complex environment condition can be improved.

The invention relates to the technical field of image detection, in particular to a power battery flatness detection method based on image recognition. The method comprises the following steps: acquiring a power battery image and calibration board information, and determining a pixel mapping relation; generating a battery surface point cloud picture by using the pixel mapping relation; fitting a reference plane by using the battery surface point cloud atlas, and calculating point cloud deviation; marking a battery bump area according to the point cloud deviation; calculating the height deviation of the bulge area of the battery, and determining the bulge degree; marking surface sunken points based on the battery surface point cloud atlas, and calculating the sunken depth of the surface sunken points; when the recess depth is greater than the recess threshold value, marking as a recess abnormal region; the flatness of the power battery is evaluated according to the bulging degree and the sunken abnormal area; and converting the flatness of the power battery into a three-dimensional rendering graph, and outputting a flat area grading result. According to the invention, accurate quantification of the battery flatness is realized based on an image detection technology, and the flatness detection accuracy is improved.

The invention provides a virtual camera projection method and system, electronic equipment and a medium, and belongs to the technical field of target detection, and the method comprises the steps: constructing a training data set according to sampling points in a three-dimensional space; modeling projection and back projection between the real camera view and the virtual camera view to obtain a two-stage multi-layer perceptron model; training a two-stage multi-layer perceptron model according to the training data set to obtain a trained model; and obtaining a pixel mapping table between the virtual camera view and the real camera view based on the trained model. According to the method, the reversible pixel mapping relation between the real camera and the virtual camera is constructed by adopting the two-stage multi-layer perceptron model, and the pictures under any group of camera parameters are uniformly converted to be under the virtual camera parameters, so that high-quality label data are efficiently generated through the automatic labeling model; the data utilization rate and the generalization ability of the automatic labeling model are remarkably improved, so that the model can directly process multi-source heterogeneous data, and the model adaptation cost is reduced.

The invention relates to the technical field of optical waveguide preparation, and discloses an optical waveguide mother set splicing-free preparation method based on a DMD dynamic mask, and the method comprises the steps: obtaining the layout data of an optical waveguide mother set as initial design information, and generating a mask pattern sequence which comprises a plurality of partition mask patterns; establishing a pixel mapping relationship between the on-off state of the micro-mirror unit and the partition mask pattern; driving the transparent substrate to execute partition positioning movement on the platform, and controlling the current exposure area of the photosensitive material layer to be aligned with the projection area of the partition mask pattern; on the basis of the pixel mapping relation and the partition positioning movement result, activating the mask pattern, and carrying out non-interval continuous exposure to form a full-page latent image pattern; the whole latent image pattern is subjected to developing treatment, the embossment structure of the optical waveguide master mask is treated and transferred into the transparent substrate, a waveguide core layer pattern is formed, the effects of non-interval continuous exposure and no segmented splicing are achieved, the preparation period of the surface embossment optical waveguide master mask is shortened, and the processing efficiency and the batch preparation yield are improved.

The application relates to the technical field of display, and particularly discloses an extended reality head-mounted display system based on Micro LED display, which comprises an eye movement tracking device, an image rendering processing unit, a bionic pixel mapping driving unit, a Micro LED display panel and an event-driven control unit; the line-of-sight center position is acquired through eye movement tracking, non-uniform rendering and bionic pixel mapping are realized, full-resolution pixels are driven in the line-of-sight center area, the data amount is reduced by using a pixel merging algorithm in the peripheral area, and the refresh is triggered only in the picture change area in combination with an event-driven mechanism. The application significantly reduces the computing power and bandwidth demand, relieves visual fatigue and dizziness, simultaneously realizes dynamic power consumption optimization, and improves the immersive experience and equipment endurance.

According to one embodiment, a processing apparatus for accelerating convolution operations comprises a memory array in which a plurality of elementary processing unit are arranged in an array structure, and an operation unit configured to temporarily store feature-map data, divide the feature-map data into predetermined units along a channel-axis direction according to a pixel-first mapping method, and deliver the divided data to the memory array in a manner of shifting the data according to a position of a kernel.

The present application relates to the technical field of image rendering, in particular to a rendering method and system for a model image interface, comprising the following steps: obtaining a view angle parameter and generating a screen pixel mapping result set of a surface patch, calculating a screen occupation ratio of the surface patch, generating a screen change feature of the surface patch in combination with a frame difference, generating a rendering scheduling sequence set based on the occupation ratio and the change feature, calling data in sequence to perform rasterization processing, and generating a rendering result of the model image interface. In the present application, the visual presentation weight under the current visual field is calculated by extracting vertex coordinate mapping, the difference in occupation ratio between the front and back frames is analyzed by using the finite difference method to capture the dynamic change trend, the dynamic rendering scheduling sequence is constructed based on the double dimensions of the occupation ratio and the change feature, the calculation resources are accurately tilted to the high screen occupation ratio and the high dynamic change area, the rendering quality of the core visual area is ensured, the invalid calculation overhead is greatly reduced, and the interface rendering real-time performance and frame rate stability in complex scenes are effectively improved.

The application provides a video blind area compensation transmission method and server based on dynamic field of view fusion, through acquiring multi-source video stream data, integrating all field of view regions under the same timestamp to a unified global reference space to obtain a global field of view splicing layout, constructing a dynamic field of view topology evolution graph containing a blind area hole outline and a pixel mapping transformation relationship between fields of view according to layout changes of continuous timestamps; performing pixel-by-pixel spatial migration on adjacent field of view video frames according to the pixel mapping transformation relationship of the blind area hole periphery to generate a blind area compensation video segment; performing panorama fusion on the compensation segment and the original video segment to obtain a panoramic video stream; analyzing the distribution pattern of the original collection source and the content remapping source in the panoramic video stream to generate a spatial mask, setting a differentiated encoding transmission strategy for different regions and encoding and distributing. The application realizes high-quality compensation of blind area content and regional differentiated efficient transmission of panoramic video streams.

This invention relates to the field of infrared imaging and low-level hardware processing technology, and discloses a parallel processing method and circuit for infrared image data based on FPGA. The method includes: establishing a pixel spatiotemporal mapping coordinate system and extracting pixel mapping point coordinate pairs; performing hardware topology sensing and spatial decoupling to output a spatial topology matrix; performing real-time pixel-level non-uniformity correction; implementing phase-locked noise reduction through a virtual offset field to obtain an equalized corrected bitstream; generating a quantization mapping curve based on saliency sensing; and performing real-time video reconstruction combined with adaptive power consumption control to output a video signal. This invention solves the problems of latency and instantaneous heat accumulation in large-area infrared data processing, achieving high-fidelity restoration of spatial topology and suppression of non-uniform noise; closed-loop energy management eliminates image blurring caused by thermal drift, comprehensively improving the system's imaging clarity and hardware operating efficiency.

A three-dimensional (3D) display monitor is disclosed, featuring an integrated processing chip designed to enhance real-time rendering and reduce system latency. The chip receives raw 3D image data and face tracking images, performs real-time face tracking and pixel mapping, and outputs the mapped image for display. The chip may receive direct eye center position data, bypassing face tracking images. The monitor includes functionalities including touch panel feedback, hand tracking, and automatic detection of 2D or 3D content, enabling seamless mode switching. Furthermore, the chip can convert 2D content to 3D content in real-time using a neural processing unit.

The present application relates to the technical fields of machine vision detection and intelligent image processing, and discloses a track defect intelligent identification method based on machine vision. Through the pixel coordinate system with the upper left corner as the origin, combined with the line gray accumulation and the maximum projection automatic positioning track center, the interested region is dynamically intercepted, and the background noise and the calculation amount are effectively reduced. For the region, multi-angle equidistant projection is adopted, the pixels are mapped into one-dimensional sequence, and the response to various types of strips and slender defects is improved. Each projection sequence is fitted by quadratic trend, the maximum residual error is used to construct a comprehensive residual image, and the defect signal is strengthened. The scheme uses statistical quantity to adaptively determine the threshold, combines the four-neighbor connected domain extraction and the dynamic area threshold, and removes the small noise domain. The boundary, main direction, length and severity of the remaining connected domain are extracted and mapped back to the original image, so that efficient, accurate and automatic track defect intelligent identification is realized.

The invention relates to the technical field of medical image processing, in particular to a kidney ultrasonic image-based fibrosis quantitative evaluation method and system, and the method comprises the steps: obtaining an ultrasonic image, carrying out the standardization processing, and estimating a system response correction function and an optical flow field; selecting a key frame based on an optical flow field, performing registration and constructing pose map optimization, fusing a envelope to establish mapping between a cortical conformal coordinate system and a key frame pixel, and generating a cortical region probability field and a boundary uncertainty field; calculating a sound attenuation coefficient and a scattering statistical parameter in the sliding analysis window, correcting the sound attenuation coefficient and the scattering statistical parameter, projecting the sound attenuation coefficient and the scattering statistical parameter to a conformal coordinate system, carrying out Wasserstein gravity center fusion according to probability and uncertainty weighting, detecting the effective thickness of the cortex, and carrying out consensus optimization to obtain a fibrosis fraction field and a consensus residual field; and generating a non-consistency total score, outputting a confidence interval and a confidence level through conformal prediction calibration, and generating a fallback recalculation or re-collection instruction if necessary. The cross-view, cross-time and cross-equipment consistency is improved, and the closed-loop quality control capability is achieved.

The invention discloses a cultural relic disease intelligent diagnosis system based on multispectral fusion and AI, and the system comprises a multispectral data collection module, a spectral feature extraction module, a cross-modal data association module, an AI disease recognition and analysis module, a diagnosis result generation module, and a system interaction control module. Transmitting to a spectral feature extraction module to extract spectral features; the cross-modal data association module establishes spectral feature and cultural relic image pixel mapping and generates an association data set; the AI disease recognition and analysis module processes the data set and recognizes disease types and region boundaries; the diagnosis result generation module integrates the information to generate a report containing disease position, area and severity; and the system interaction control module displays the report and realizes storage and external calling. Through multi-module cooperation, multispectral and AI technologies are fused, the historical relic disease diagnosis precision and efficiency are improved, and comprehensive data support is provided for historical relic protection.

The invention discloses a dynamic switching method and device based on EDID identification, and the method comprises the steps: receiving an eDP signal through an eDP input interface, and dividing the eDP signal into two paths through an eDP signal distribution unit; reading the EDID information from a display device connected with the first output interface and the second output interface through the control unit; the interface type, the optimal resolution, the time sequence format and the pixel mapping format supported by each display device are judged through the EDID information analyzed by the control unit; generating a control signal through a control unit according to the judgment result; and according to the configured mode, the two paths of signals are processed and converted through the corresponding signal processing paths respectively, and are finally output to display equipment through the corresponding output interfaces. According to the method and the device, plug and play is realized, manual intervention of a user is not needed, and the optimal display mode is automatically adapted. The device can be adapted to display devices with different interfaces, different resolutions and different brands, and the product applicability is greatly improved.

The invention discloses an optical window distortion correction method based on static contrast calibration and optical angle deviation. The method comprises the following steps of: a, obtaining a pixel-by-pixel light window distortion mapping pixel deviation table Tc and a pixel-by-pixel mask table Tm through static comparison calibration; b, obtaining an external parameter matrix of a camera imaging origin and a light window under a body coordinate system based on real external parameter calibration of a total station camera; c, performing optical simulation analysis by taking a field angle parameter of the camera as an input parameter to obtain an original light incidence vector with optical angle deviation and a deviated light incidence vector; d, performing distortion mapping on the original light incidence vector with the optical angle deviation and the deviated light incidence vector to obtain a distortion mapping pixel deviation table T1 caused by the optical angle deviation; and e, fusing the Tc, the Tm and the T1 to obtain a distortion pixel mapping table T0 of the full picture pixel by pixel. According to the invention, precise distortion separation and high-precision correction can be realized.

Embodiments perform gradient-based interpolating pixels. In one embodiment, a method comprises: converting point cloud data into one or more range images, wherein each pixel in a range image within the one or more range images is to map to a point represented by a set of cartesian coordinates in the point cloud; dividing a range image within the one or more range images into a plurality of windows, each window including a set of pixels in the range image; adding one or more pixels to at least one window through interpolation of pixels within the window, wherein one or both gradients between a first pixel and the first pixel's two immediately adjacent pixels in the window are used to determine a first interpolated pixel to be added; and converting pixels within the plurality of windows with one or more interpolated pixels into updated point cloud data of the point cloud.

The invention provides a high-speed railway multi-professional data unified registration method and device based on visual features, and relates to the technical field of railway infrastructure operation, maintenance and detection, and the method comprises the steps: obtaining multi-source data; respectively extracting facility feature points from the geometric one-dimensional data of the track and the one-dimensional data of the overhead line system, and outputting the category and mileage position of the facility through identification processing; image facility feature points are detected from line-scan digital camera image data, facility categories and image pixel coordinates are output through detection, and a unified coordinate system is constructed based on the image pixel coordinates; grouping according to facility types, and matching the track inspection facility feature points with the image facility points and matching the network inspection facility points with the image facility points to obtain matching results; and piecewise linear spreading is carried out between adjacent matching pairs, a monotonous mileage-to-image pixel mapping function is generated according to a mileage-to-image pixel mapping relation, multi-source data is mapped to a unified coordinate system, and a registration result is obtained.

The invention relates to the technical field of image rendering, in particular to a rendering method and system for a model image interface, and the method comprises the following steps: obtaining a visual angle parameter, generating a patch screen pixel mapping result set, calculating a model patch screen occupation ratio, and generating patch screen change features by combining a front and back frame difference value; and generating a rendering scheduling sequence set based on the occupancy ratio and change feature sorting, calling the data in sequence to execute rasterization processing, and generating a model image interface rendering result. According to the method, the visual presentation weight in the current vision field is calculated and quantified by extracting vertex coordinate mapping, a finite difference method is used for analyzing the occupancy ratio difference of front and back frames to capture the dynamic change trend, and a dynamic rendering scheduling sequence is constructed based on the dual dimensions of the occupancy ratio and change characteristics. According to the method, computing resources are accurately inclined to a high-screen-ratio and high-dynamic-change area, the invalid computing overhead is greatly reduced while the rendering quality of a core visual area is guaranteed, and the interface rendering real-time performance and the frame rate stability in a complex scene are effectively improved.

An adapter for an endoscope system comprises a housing, an input device for receiving image signal inputs from an endoscope, an image signal processor configured to receive image signal inputs and apply an image processing technique to image signal inputs to generate image signal outputs, wherein the image signal processing technique is configured to modify a display characteristic of image signal inputs, and an output coupler for providing image signal outputs to an imaging and control system.A method for converting a flat image into a distorted image includes mapping pixels of the flat image onto a first table that correlates the pixels with positions in the flat image, correlating the positions of the first table with positions in a second table for the distorted image, and generating the distorted image by shifting pixels from the positions of the first table to corresponding positions in the second table.

The display method and display device for improving line sharpness are provided, the line is a red line in a red and black interval line or a blue line in a blue and black interval line, the display method comprises the following steps: obtaining a to-be-displayed original image of a display screen, the display screen is an active matrix organic light emitting diode display screen in which sub-pixels are arranged in a diamond arrangement manner; when performing sub-pixel rendering processing on the to-be-displayed original image, mapping a pixel in the line in the to-be-displayed original image to a sub-pixel with the same color as the pixel in a corresponding range of the pixel on the display screen, and configuring a non-zero pixel value for other sub-pixels in the corresponding range; and displaying sub-pixel data obtained after the to-be-displayed original image is subjected to the sub-pixel rendering processing through the display screen. The display method and display device can solve the problem that a red and black interval line or a blue and black interval line is not sharp enough when displayed on an AMOLED display screen arranged in a diamond arrangement manner.

The invention provides an image correction method based on a flat panel detector. The method comprises the following steps: acquiring a chip pixel mapping table; calculating initial chip data according to the initial flat-field image, the initial dark-field image and a chip pixel mapping table; executing a clustering analysis algorithm according to the first gain drift coefficient and the first baseline drift coefficient; calculating a linear regression coefficient between the non-class representative chip and the class representative chip according to a first gain drift coefficient and a first baseline drift coefficient corresponding to the analog-to-digital conversion chip; calculating a second gain drift coefficient and a second baseline drift coefficient according to the working flat field image, the initial gain coefficient, the initial baseline coefficient and the linear regression coefficient; and generating a pixel correction image according to the target gain coefficient, the second gain drift coefficient, the second baseline drift coefficient and the chip pixel mapping table, and correcting the clinical original image according to the pixel correction image. Through the sampling strategy of the representative chip, full calculation is not needed, and the working efficiency of the flat panel detector is improved.

The application provides an aerial advertising system and method with a flexible LED display screen carried by a UAV, and relates to the technical field of UAV display, which comprises the following steps: generating formation control instructions and task allocation information based on task requirements and preset advertising picture parameters; controlling the UAV cluster to ascend asynchronously in stages according to the formation control instructions and the task allocation information, completing the division of sub-clusters and hierarchical formation calibration in a target airspace, and forming an initial cluster formation; generating attitude adjustment instructions and display splicing calibration instructions based on the real-time spatial pose of each UAV in the initial cluster formation, and constructing a complete advertising display surface; performing perspective adaptation processing and partition pixel mapping on original advertising data according to the spatial topological characteristics of the complete advertising display surface, and generating adapted target video frame data; generating display trigger instructions based on a high-precision synchronous clock reference and a UAV display delay prediction result, and controlling each flexible LED display screen to synchronously play the target video frame data.

The application discloses a plant species accurate classification method using an image data processing algorithm, and relates to the technical field of plant species classification, and comprises the following steps: obtaining water body data and polarized multispectral image data of a target object; performing pixel polarization decomposition on the polarized multispectral image data to generate a polarization component image; performing pixel-by-pixel mapping on the water body data and the polarization component image to generate a scattering correction weight field; and performing coupling calculation on the scattering correction weight field and the polarization component image according to the pixel neighborhood gradient of the water body data to generate an initial compensation estimate. Through the introduction of the iteration mechanism controlled by the discrimination threshold, the scattering correction weight can be dynamically adjusted according to the polarization component change of the local area, the local compensation failure caused by the uneven spatial distribution of the water body turbidity is avoided, and through the iterative optimization of the fusion comparison result and the difference analysis data, the learner can be self-adapted to the water body conditions with different turbidity.

Disclosed are an image processing method and an image processing apparatus. An original image including a plurality of pixels is obtained. The plurality of pixels include a first pixel. N target pixel coordinates are recorded. The N target pixel coordinates form M target coordinate sets. M and N are integers greater than 0. The first pixel is associated with a first target coordinate set among the M target coordinate sets by utilizing a first classification method according to an original pixel coordinate of the first pixel. The first pixel is mapped to one of the N target pixel coordinates in the first target coordinate set by utilizing a second classification method. The original pixel coordinate of the first pixel is replaced with one of the N target pixel coordinates to convert the original image into an adjusted image.

Embodiments of the present application provide a method and apparatus for generating image data, and an electronic device. The method comprises: obtaining a first image containing a foreground image and a background image, the background image containing a plurality of artificial markers, and a projection of an object in the foreground image in the background image being located in an area surrounded by the plurality of artificial markers; calculating a spatial pose of the object relative to the camera according to the first image; mapping each pixel of a target image to the background image according to a spatial relationship between the artificial markers and the background image to generate a second image; generating a mask image using a three-dimensional model of the object and the spatial pose; and synthesizing a third image according to the second image and the mask image. Thus, the background of the object to be photographed can be marked using a plurality of artificial markers, and the background image of the object in the photographed image can be replaced with the target image, so that a large amount of image data close to an actual use scenario can be synthesized at a lower cost.

The embodiment of the invention provides a light field 3D splicing visual area correction method and device and related equipment, and the method comprises the steps: dividing a plurality of target visual areas according to the target scene information and the related information of a plurality of target splicing screens, and determining the stop probability corresponding to each target visual area; executing corresponding correction operation on the plurality of target visual areas to generate a corrected viewpoint pixel mapping sequence; determining a target viewpoint pixel mapping sequence according to the viewpoint pixel mapping sequence and the stopping probability; and according to the target viewpoint pixel mapping sequence, executing a target light field 3D splicing visual area correction operation. According to the method, multi-dimensional errors in the light field 3D splicing display process can be compensated, so that deviation between an ideal light path and an actual light path is reduced, light crosstalk among different viewpoints is avoided, the problems of dislocation, blurring, discontinuous visual areas and the like of light field images watched by viewers through a splicing screen are avoided, and the display quality of the light field images is improved. Therefore, the light field image splicing quality is improved.

The invention relates to an ink-jet printer nozzle intelligent regulation and control assembly based on image quality online monitoring, and belongs to the technical field of additive manufacturing equipment. The multi-modal quality analysis module is used for constructing a three-dimensional quality evaluation model; the nozzle state positioning module is used for accurately positioning coordinates and fault types of fault nozzles based on printing defects of the three-dimensional quality evaluation model and preset nozzle-image pixel mapping; the self-adaptive regulation and control module outputs a differential regulation and control instruction according to the dynamic image and the fault type, performs ink droplet volume fine adjustment, injection frequency correction or pre-cleaning operation on a fault nozzle, and controls adjacent nozzles to perform dynamic ink amount compensation at the same time, so that real-time repair of printing defects is realized; the method has the beneficial effects that differential regulation and control instructions are output through the self-adaptive regulation and control module according to the dynamic images and the fault types, ink droplet volume fine adjustment, injection frequency correction or pre-cleaning operation is executed on the fault nozzles, and flexible adaptation of regulation and control strategies is achieved.

This application relates to the field of image processing technology, and provides an image correction method, apparatus, device, and storage medium based on polarization features. The method acquires a main image and multi-polarization angle polarized images, and establishes a pixel mapping relationship between the main image and the polarized images, achieving precise spatial alignment of polarization features with the main image and obtaining the corresponding polarization features of the main image. Highlight regions are selected from the main image using preset evaluation conditions, and the polarization features are used to accurately identify specular reflection highlights, improving the recognition accuracy of highlight regions in the main image. The reflection characteristic components of each highlight region are determined based on the polarization features, and the highlight regions in the main image are corrected using these reflection characteristic components as physical constraints. This results in a corrected main image with more realistic colors, more natural transitions, and better visual consistency, thus improving the image correction quality.

Embodiments of the present application provide a light field 3D splicing view area correction method, device and related equipment, wherein the method comprises: dividing a plurality of target view areas and determining the corresponding standing probability of each target view area according to target scene information and related information of a plurality of target splicing screens; performing corresponding correction operations on the plurality of target view areas to generate a corrected view point pixel mapping sequence; determining a target view point pixel mapping sequence according to the view point pixel mapping sequence and the standing probability; and performing a target light field 3D splicing view area correction operation according to the target view point pixel mapping sequence. The above method can compensate for multi-dimensional errors in the light field 3D splicing display process, thereby reducing the deviation between the ideal light path and the actual light path, avoiding light crosstalk between different view points, and further avoiding problems such as misalignment, blurring and discontinuous view areas in the light field image viewed by the viewer through the splicing screen, so as to improve the light field image splicing quality.