65 results about "Visual distortion" patented technology

According to the power distribution network equipment hidden danger detection method based on the large-view-field spliced video data and the related device provided by the invention, the video data under different view angles are combined, so that the detection view field range is remarkably expanded, and the problem of repeated shooting of multiple pieces of power distribution network equipment at the same position is solved through the large view field. And in combination with the synchronization timestamp, accurate alignment of space and time parameters is performed on the multi-channel video data, so that the continuity and consistency of the spliced video in time and space are ensured, and the reliability and effectiveness of a detection result are improved. Through accurate extraction and matching of multi-channel video frame image features, visual distortion and seam traces in the splicing process are reduced, high-quality fused video data are generated, and a clear and continuous visual basis is provided for subsequent hidden danger detection. And the pre-trained hidden danger detection model is used for automatically detecting the fused video data, so that the detection speed and the working efficiency are greatly improved, and the objectivity and the standardization of the detection process are enhanced.

The invention relates to the field of chip production, and mainly relates to a visual system compensation method and device in a high-temperature environment and a storage medium, and the method comprises the following steps: S1, obtaining a visual system input image in the high-temperature environment; s2, detecting an image through an image processing algorithm; s3, the detected visual distortion is compensated; and S4, post-processing the compensated image, and outputting a final image. According to the invention, an image processing algorithm is adopted to detect visual distortion caused by a high-temperature effect in an image, a compensation model is introduced, and visual characteristic data of the model based on a high-temperature environment is trained, so that thermal deformation and optical distortion of an optical system, equipment offset and alignment errors caused by high temperature are compensated; the visual system is an effective method capable of realizing image quality compensation, optical deformation correction and alignment error in a high-temperature environment.

The invention relates to a robust video watermark embedding method combined with error correction coding, which is characterized in that firstly, the embedding position and strength of a watermark are adaptively adjusted according to the complexity of a video picture, the invisibility of the watermark is ensured by the adaptability, and the robustness of the watermark in various scenes is improved; the visual distortion of the video is avoided; secondly, performing error correction coding processing on watermark information in a watermark embedding process so as to automatically detect and correct a bit dislocation problem caused by compression, transmission or hostile attack during watermark bit extraction; and finally, embedding the watermark into the original video according to the watermark embedding algorithm logic. According to the method, the watermark is embedded in a self-adaptive manner according to the picture complexity, so that the problem of bit dislocation during extraction of watermark bits is solved, and good invisibility of the watermark and good stability of a code stream are ensured.

The invention discloses a lightweight processing method and system for PDMS three-dimensional design data, and relates to the related field of data processing, and the method comprises the steps: receiving PDMS three-dimensional design data to be processed, and carrying out the preprocessing of attribute data; extracting a three-dimensional geometric model, performing geometric fidelity weight analysis, and establishing geometric fidelity weight distribution; determining a lightweight display scene; carrying out degradation processing through a polygon degradation module, and loading a visual distortion analyzer to carry out global visual distortion constraint; after the attribute information is rendered, target lightweight PDMS three-dimensional design data is generated; and transmitting the data to a three-dimensional display terminal for calling and displaying after hierarchical storage. The technical problem that it is difficult to guarantee the model precision, details and visual quality while improving the storage and transmission efficiency in existing lightweight processing is solved, and the technical effect of effectively guaranteeing the model precision, details and visual quality while improving the storage and transmission efficiency is achieved.

The invention relates to the technical field of arc-shaped microcrystalline panels, in particular to an arc-shaped microcrystalline glass plate and a preparation method and application thereof. The roughness of the inner and outer surfaces of the arc-shaped microcrystalline glass plate is less than or equal to 0.06 mu m; the radial unevenness A of the arc-shaped microcrystalline glass plate is less than or equal to 0.4%, and A = h / L * 100%; the axial unevenness B of the arc-shaped microcrystalline glass plate is less than or equal to 0.4%, and B = d / L * 100%. The arc-shaped microcrystalline glass plate provided by the invention has a flat and smooth surface, can avoid optical scattering, meets the visibility requirement, and has the advantages of good flatness, low radial unevenness and axial unevenness, no warping angle phenomenon and obvious visual distortion.

The embodiment of the invention discloses an image display method and device of an ink screen, and belongs to the field of wireless communication. The display effect of the image on the ink screen is improved through the following steps. Collecting data of an image to be processed, and converting color information into a gray value; and carrying out histogram equalization on the image to improve the contrast ratio and the brightness of the image. And mapping the equalized gray level to a gray range supported by the ink screen equipment. And target gray scale adaptation is carried out to ensure that the display effect of the image on the ink screen meets the expectation. And generating new image data conforming to the target gray level parameter, and carrying out local smoothing processing to reduce visual distortion. And transmitting the processed image data to ink screen equipment to be displayed, and performing final display effect adjustment. The display quality of the image on the ink screen can be effectively improved, details and contrast can be better presented in various application scenes, and the requirement of a user for a high-quality display effect is met.

An electronic device, according to an embodiment, may comprise: a first housing including a first side and a second side opposite to the first side. The electronic device may comprise a second housing including a third side and a fourth side opposite to the third side. The electronic device may comprise: at least one processor comprising processing circuitry; at least one camera; at least one distance sensor; and a flexible display. The electronic device may comprise a hinge structure configured to provide, by rotatably connecting the first housing and the second housing based on a folding axis, an unfolded state in which the first side and the third side face the same direction, a folded state in which the first side and the third side face each other, or an intermediate state in which the first side and the third side form an angle between the angle in the unfolded state and the angle in the folded state.

The invention discloses a robust watermarking method for stable diffusion generated images. The robust watermarking method comprises the following steps: step 1, watermark embedding; step 2, generating a watermark image; step 3, watermark extraction; step 4, watermark detection and source tracing; according to the method, the watermark information is encrypted and mapped into Gaussian noise approximately conforming to normal distribution, and is embedded into a potential space instead of directly modifying pixels, so that visual distortion of an image is avoided, native logic of a diffusion model is fit, model parameters do not need to be adjusted or network fine adjustment is not needed, and the original generation performance of the model can be fully guaranteed; the watermark is expanded to the potential space full dimension, the watermark covers the whole semantic level of the image, a voting mechanism is introduced in the extraction stage to carry out consistency verification on the multi-copy watermark, various common attacks can be effectively resisted, the generated image can still keep the complete content structure and semantic consistency even under the high watermark capacity, and the image quality is improved. And the balance of model performance, image quality and robustness is realized.

The invention relates to a fan blade defect detection method and system based on visual feature enhancement, and belongs to the technical field of computer vision and wind turbine operation and maintenance. The method comprises the following steps: establishing a perspective transformation matrix, and analyzing an image distortion rate of a local curvature radius and a normal inclination angle of a blade to obtain an image distortion correction parameter; a blade target detection model is constructed, the perspective transformation matrix is analyzed through a double-branch feature fusion network, and blade defect detection is carried out; performing three-dimensional reconstruction on the fan blade image, and obtaining blade defect detection information in combination with binocular vision point cloud data; and performing cross validation on an image recognition result, synthesizing and constructing a blade defect sensing space based on visual distortion recognition, and generating a defect feature detection report.

The present invention provides a test video black box for an autonomous driving binocular camera. The interior of the box body includes: two vertically placed monitors; a monitor bracket for adjusting the vertical height, horizontal position, longitudinal position, elevation angle, horizontal orientation angle, and roll angle of the monitors mounted on the monitor bracket; a partition separating the two monitors, the partition containing light-passing small holes, and the camera on one side of the binocular camera can capture the screen of the monitor through the light-passing small holes; two groups of lenses and a lens bracket for adjusting the lens position. Through the light deflection structure, the present invention controls the cameras on both sides of the binocular camera to respectively capture two monitors located in different orientations, thereby capturing images with completely different camera installation positions, viewing angles, and visual distortions, ensuring the independence of the images of the binocular camera, and restoring the characteristic that the relative distance of the target is calculated by the difference in the viewing angles of the object in the two cameras due to the difference in the installation positions of the binocular camera.

This application discloses a rendering method, apparatus, device, and storage medium, relating to the field of intelligent driving technology. The method includes: receiving a user's theme switching command and loading a theme configuration file corresponding to the command to obtain corresponding theme rendering parameters; acquiring environmental perception data of the vehicle and determining the object to be displayed on the vehicle's in-vehicle interface based on the environmental perception data, the object representing obstacles within a preset range of the vehicle; generating a geometric line drawing of the object to be displayed based on the environmental perception data, the geometric line drawing representing the outline of the obstacles; and rendering the object based on the theme rendering parameters using the geometric line drawing as a constraint to obtain the theme object corresponding to the in-vehicle interface. This application constrains the theme rendering process by combining the geometric line drawing generated from the environmental perception data, achieving theme switching while avoiding visual distortion or obstruction of core safety information, thus improving driving safety.

The invention discloses a vehicle type recognition method and system based on multi-modal perception and dynamic feature matching, particularly relates to the technical field of vehicle type recognition, is used for solving the problems of feature drift and recognition errors caused by multi-source signal interference, and constructs a multi-source time-sharing tensor by synchronously fusing vision, millimeter wave and wheel speed data through a self-adaptive time mark; real-time tracking of cross-domain features is realized by means of a pseudo-topology tracking grid and an elastic anchor point, drift signals of visual distortion and dynamic abrupt change are sensitively captured by flash stripe lag and speed feedback turn-back amplitude parameters, a drift cut element index is generated in real time through a time-error cut-off mapping operator, self-adaptive correction is performed on different-source features, and complex dynamic disturbance is identified; high-risk drift entries are retrieved in a matching memory library, a correction matrix is constructed, directional back-compensation is carried out on the time-sharing tensor, and multi-dimensional alignment of vision, echo and dynamic characteristics is achieved; and finally, fusing the correction feature and the power mode mapping distance, efficiently outputting a vehicle type label, and pushing the vehicle type label to a charging and safety node.

The present invention relates to a multi-functional detection, recognition and interaction system based on an AR glasses, which includes a headband wearing member and a device host. The back plate of the device host is connected to the front part of the headband wearing member. A dual-diffraction optical machine assembly and a gesture recognition assembly are provided at the bottom of the device host. The dual-diffraction optical machine assembly includes an image output optical machine and a waveguide diffraction lens. The waveguide diffraction lens is used to image the image source into the left and right eye visual fields; the gesture recognition assembly is used to capture and recognize the gestures of the wearer; a camera and a TOF sensor are provided in the middle of the front side of the device host. By using the image output optical machine and the waveguide diffraction lens, the present invention can provide clearer images. The waveguide diffraction lens enables a thinner and lighter design and helps to naturally superimpose virtual information onto the user's field of view without causing obvious visual distortion; the built-in gesture recognition assembly enables the user to send instructions through simple gestures; the equipped camera and TOF sensor are used in combination to perform functions such as precise spatial positioning and object distance measurement.

The present disclosure relates to an image display method, device, terminal and storage medium. The method includes: obtaining the current unfolding angle value of the folding screen and the image to be displayed; determining the final display area of ​​the image to be displayed according to the current unfolding angle value; and displaying the image to be displayed in the final display area. In this method, when the terminal is used for image display, the final display area of ​​the image to be displayed is determined according to the current unfolding angle value of the folding screen, and the image to be displayed is displayed in the final display area. That is, the method corrects and compensates the display area of ​​the image to be displayed according to the unfolding angle of the folding screen, which eliminates the visual distortion caused by the incomplete unfolding of the folding screen to a certain extent, improves the display effect of the terminal, especially the display effect when the terminal is used vertically, facilitates users to use the terminal with a folding screen, and improves the user experience.

A method includes determining a viewpoint modification of a first viewpoint from which an input image represents a scene, and determining, based on the input image and the viewpoint modification, a reoriented image that (i) represents the scene from a second viewpoint that differs from the first viewpoint and (ii) includes a visual distortion of the scene. The visual distortion may be associated with the viewpoint modification. The method also includes processing the input image and the reoriented image using an image correction model configured to remove visual distortions associated with viewpoint modifications, and generating, using the image correction model and based on processing the input image and the reoriented image, an output image that includes a correction of at least part of the visual distortion in the reoriented image. The output image may represent the scene from the second viewpoint. The method additionally includes outputting the output image.

A virtual eye test for measuring and adjusting visual distortions caused by astigmatism can be conducted in a virtual reality (VR) environment. The test employs an electronic device featuring a head-mounted display (HMD) and a camera. The device generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the HMD. A plurality of visual scenarios is simulated within the VR interface. Using the camera, the device tracks user interactions and responses to visual stimuli presented in these scenarios. Visual distortions are measured and adjusted for based on the tracked user interactions and responses, providing a comprehensive assessment and correction of astigmatism-related visual distortions in a controlled, immersive environment.

The invention discloses a visual guidance control method for an underwater hull cleaning robot, and relates to the technical field of visual guidance, and the method comprises the steps: obtaining underwater original images of the vertical and inclined surfaces of a broadside hull, and carrying out the longitudinal partitioning of the images along the broadside height based on the gravity direction; in combination with partition brightness distribution prior, adaptive exposure compensation is performed on each partition, brightness mutation of adjacent partitions is eliminated through longitudinal consistency constraint, and a broadside image with continuous brightness is generated; on this basis, hull weld joint and reinforcing rib structure feature lines are extracted, a visual reference coordinate system consistent with the hull structure is constructed, then real-time deviation correction control is conducted on the cleaning robot according to the visual offset, and the cleaning robot is guided to execute a stable and continuous broadside cleaning path in the direction of the structure feature lines; the problems of visual distortion, unstable structural feature recognition and easy deviation of a cleaning path caused by non-uniform illumination and posture change in an underwater broadside cleaning scene are solved.

The invention relates to a multifunctional detection and recognition interaction system based on AR glasses, which comprises a head band wearing part and a device host, a back plate of the device host is connected with the front part of the head band wearing part, the bottom of the device host is provided with a double-diffraction optical machine assembly and a gesture recognition assembly, and the double-diffraction optical machine assembly comprises an image output optical machine and a waveguide diffraction lens. The waveguide diffraction lens is used for imaging an image source to left and right eye view areas; the gesture recognition assembly is used for shooting and recognizing gestures of a wearer; a camera and a TOF sensor are arranged in the middle of the front side face of the device host. By using the image output light machine and the waveguide diffraction lens, a clearer image can be provided, the waveguide diffraction lens realizes a lighter and thinner design, virtual information can be naturally overlaid into the visual field of a user, and obvious visual distortion cannot be caused; a built-in gesture recognition assembly enables a user to send an instruction through a simple gesture; the camera and the TOF sensor are combined for use, and the functions of accurate space positioning, object distance measurement and the like are achieved.

The invention relates to the technical field of data visualization, in particular to a dynamic water ball chart real-time generation method based on Berlin noise, which comprises the following steps of: acquiring a UV matrix, extracting a Y value in the matrix and mapping the Y value to a range of 0-1.875, generating an offset vector offset UV matrix by combining the current frame time, generating a Berlin noise matrix in a range of 0-0.875 on the offset matrix, and superposing data values, according to the dynamic water ball graph real-time generation method based on the Berlin noise, a color matrix is obtained through binaryzation and color mapping, then the alpha value of the color matrix is adjusted based on the Euclidean distance of the center coordinate of the matrix, and finally the color is assigned to the corresponding vertex and the fragment element, water ripples can have C2 continuity and non-repeatability, the edge is free of sawteeth, and the dynamic water ball graph real-time generation method based on the Berlin noise can be used for generating the dynamic water ball graph. The dynamic effect and the real-time data are accurately associated, visual distortion is avoided, execution is efficient, and the visualization quality of the water polo chart is effectively improved.

The invention discloses a method for determining the distortion amount of an object, and the method comprises the steps: presenting a first pattern to a user on a display screen, and marking a fixation guide point in the first pattern, the fixation guide point being fixed relative to the first pattern; keeping the fixation point of the user consistent with the fixation guide point; receiving user input to generate a second pattern on the display screen, wherein the second pattern is drawn by the user with reference to the first pattern and is visually perceived by the user as not distorted; and determining a visual distortion amount of the user based on the first and second patterns. The invention further discloses a storage medium and a device for determining the visual object distortion amount. According to the embodiment of the invention, when the user draws the second pattern on the display screen by referring to the first pattern, the fixation point is kept fixed relative to the first pattern, so that the distortion position of the first pattern is kept fixed. This enables the user to accurately draw the second pattern, thereby implementing a convenient and accurate method for determining the amount of visual distortion of the user.

The invention discloses a high dynamic range video tone mapping method, device and equipment, and the method comprises the steps: carrying out the display preprocessing of a target high dynamic range video frame image, and obtaining a linear light image; processing the linear light image by using a Retinex algorithm to obtain an illumination image; estimating a reflection map according to the illumination map by using an illumination reflection theory; converting the illumination image to a frequency domain, and performing spectral analysis to obtain a first radial average power spectrum; converting the reflectogram into a frequency domain, and performing spectral analysis to obtain a second radial average power spectrum; determining homomorphic filtering parameters according to the first radial average power spectrum and the second radial average power spectrum; processing the linear light image by using an illumination reflection model, and converting an obtained processed time domain signal into a frequency domain to obtain a processed frequency domain signal; and performing filtering processing on the processed frequency domain signal according to the homomorphic filtering parameter, and performing tone mapping on an obtained filtering result. According to the invention, detail loss and visual distortion are avoided.

The invention discloses a pet three-dimensional reconstruction and personalized interaction behavior generation system and method based on monocular video driving. According to the system, skeleton and acoustic features in a video are extracted through a multi-modal feature decoupling module, and high-fidelity appearance reconstruction and physical collision feedback are realized by using an explicit-implicit hybrid rendering technology based on discrete volume primitives (such as 3D Gaussian). Meanwhile, a style-constrained imitation learning network (GAIL) and a user feedback fine tuning mechanism (RLHF) are introduced, and the personalized exercise expression of the pet is copied from the video. According to the method, the problems of visual distortion, lack of physical feedback of interaction and rigid behavior mode of the virtual pet in the prior art are effectively solved, immersive digital twin experience of visible, touch and personality is realized, and the method has perfect end-side performance adaptation and privacy protection capabilities.

Embodiments of the present disclosure relate performing registration of a first image to a second image where the first image is undistorted to linear space before applying a geometric transformation matrix to modify the first image to align with the second image. The geometric transformation matrix may be a linear matrix that causes the undistorted version of the first image to make translation movement, rotational movement or both. The undistorted and modified first image is then reverted back to nonlinear distorted space. Then the reverted first image may be warped to better align with the second image for fusing with the second image. In this way, visual distortions in the fused image such as wobbling may be reduced or eliminated.

The present invention relates to the field of image processing technology, and discloses an image quality evaluation method, device, equipment and medium based on peak signal-to-noise ratio, the method comprising: obtaining the peak signal-to-noise ratio between a target image and a standard image; screening out abnormal pixels from the target image based on the pixel difference between a first pixel in a set area around each pixel in the target image and a second pixel in a corresponding area in the standard image; updating the peak signal-to-noise ratio based on the total number of abnormal pixels and the positional relationship between adjacent abnormal pixels; and determining the image quality evaluation result of the target image based on the updated peak signal-to-noise ratio. The present invention characterizes the visually visible noise by identifying and utilizing abnormal pixels, so that the updated peak signal-to-noise ratio can intuitively reflect the abnormality of visual distortion on the image, thereby improving the evaluation accuracy of the visually distorted image and ensuring the consistency between the image quality evaluation result and the subjective judgment result.

The invention relates to the technical field of image processing, and discloses an image quality evaluation method and device based on a peak signal-to-noise ratio, equipment and a medium, and the method comprises the steps: obtaining the peak signal-to-noise ratio between a target image and a standard image; screening out abnormal pixel points from the target image based on the pixel difference between a first pixel point in a set area around each pixel point in the target image and a second pixel point in a corresponding area in the standard image; updating the peak signal-to-noise ratio based on the total number of the abnormal pixel points and the position relationship between the adjacent abnormal pixel points; and determining an image quality evaluation result of the target image based on the updated peak signal-to-noise ratio. According to the method, the condition of visual visible noise is represented by identifying and utilizing the abnormal pixel points, so that the updated peak signal-to-noise ratio can intuitively reflect the abnormal condition of visual distortion on the image, the evaluation accuracy of the visual distortion image is improved, and the consistency of an image quality evaluation result and a subjective judgment result is ensured.

The application discloses a kind of robust watermarking methods for stable diffusion generation image, including the following steps: step one, watermark embedding;Step two, watermark image generation;Step three, watermark extraction;Step four, watermark detection and tracing;The present application is by watermark information encryption mapping as approximately conforming normal distribution Gaussian noise, embedding latent space rather than directly modifying pixel, both avoid visual distortion of image, and also fit diffusion model original logic, without adjusting model parameters or network fine-tuning, can fully guarantee model original generation performance;By extending watermark to latent space full dimension, make watermark cover the whole semantic level of image, introduce voting mechanism to check consistency for multiple copies of watermark in extraction stage, can effectively resist various common attacks, and even under high watermark capacity, generated image can keep complete content structure and semantic consistency, realizes the balance of model performance, image quality and robustness.

The invention discloses a head-mounted visual distortion correction device which comprises a left display screen, a right display screen, a head-mounted holder, an image acquisition unit and an image processing unit, the left display screen and the right display screen are used for displaying images to the left eye and the right eye respectively, the image acquisition unit is used for shooting the front visual field range of a wearer to obtain an original image, and the image processing unit is used for processing the original image. And the image processing unit is used for respectively carrying out reverse distortion processing which is opposite to and equal to the visual distortion of the left eye and the right eye on the original image to obtain a left eye correction image and a right eye correction image, and respectively outputting the left eye correction image and the right eye correction image to the left display screen and the right display screen for displaying. According to the head-mounted visual distortion correction device provided by the embodiment of the invention, the image in the visual field of the patient is distorted in the opposite direction before being presented to the patient in an image processing manner, so that the image seen by the patient is a normal and undistorted image, and the aim of correcting visual distortion is fulfilled.

The astigmatic lens comprises a central area and a peripheral area, the peripheral area is arranged around the central area, and the radial size of the central area is larger than that of the peripheral area; the central area is provided with an astigmatism cylindrical lens, the peripheral area is provided with a plurality of micro cylindrical lenses in array arrangement, the diopters of the micro cylindrical lenses gradually change along different meridian directions, and the difference between the diopters of the micro cylindrical lenses and the diopter of the central area is gradually increased in the direction far away from the central area. And the diopter of each micro-cylindrical lens is smaller than that of the central area. Furthermore, the micro-cylindrical lenses are arranged in the peripheral area of the astigmatic lens, sudden change of the diopter of the original astigmatic lens is relieved through gradual change of the diopter of the micro-cylindrical lenses, and the magnification difference generated by the astigmatic lens at the edge is reduced, so that visual distortion is reduced, and when a wearer wears the astigmatic lens, the astigmatic lens is more comfortable to wear. The dizziness feeling of a wearer can be reduced, and the experience of the wearer is improved.

The present invention relates to the technical field of curved microcrystalline panels, and more specifically, to a curved microcrystalline glass plate, its preparation method, and its application. The roughness of the inner and outer surfaces of the curved microcrystalline glass plate is both ≤0.06μm; the radial unevenness A of the curved microcrystalline glass plate is ≤0.4%, where A = h / L×100%; and the axial unevenness B of the curved microcrystalline glass plate is ≤0.4%, where B = d / L×100%. The curved microcrystalline glass plate provided by the present invention has a flat and smooth surface, can avoid optical scattering, and meets visibility requirements. It also has good flatness, low radial and axial unevenness, and no "warping" phenomenon or obvious visual distortion.

The invention provides a polyamide composition reinforced fiber, a CPI material and a preparation method of the polyamide composition reinforced fiber and the CPI material. The polyamide composition reinforced fiber is prepared from the following components in percentage by weight: 50 to 75 percent of semi-aromatic polyamide precursor, 10 to 25 percent of epoxy grafted cellulose nanofiber, 0.5 to 1 percent of epsilon-caprolactam sodium salt and 0.3 to 0.5 percent of N-acetyl caprolactam, wherein the polyamide composition forms a core-shell structure reinforced fiber through an in-situ fiber forming technology. Through multi-scale structural design, the comprehensive mechanical property of the CPI thin film is remarkably improved, the tensile strength and the elastic modulus of the material are improved by 50%-80% and 30%-50% respectively compared with pure CPI, meanwhile, high optical performance is kept, and visual distortion and brightness loss are avoided; and the folding durability of the material is improved through the core-shell fiber network-polyamide transverse crystal structure-polyamide phase multi-mechanism synergistic effect, and collaborative optimization of mechanical properties and optical properties is realized.