52 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 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.

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.

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 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 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 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 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.

The application discloses a kind of astigmatic lenses and glasses, wherein, astigmatic lenses, including: center area and surrounding area, surrounding area is arranged around center area, the radial dimension of center area is greater than the radial dimension of surrounding area;Center area is arranged with astigmatic cylinder, surrounding area is arranged with multiple array arrangement microcylinders, the diopter of each microcylinder is gradually changed along different meridian direction, in the direction away from center area, the difference between the diopter of each microcylinder and the diopter of center area gradually becomes large, and the diopter of each microcylinder is less than the diopter of center area.Further, by setting microcylinders in the surrounding area of astigmatic lenses, the diopter of microcylinders is gradually changed to relieve the abrupt change of the diopter of original astigmatic lenses, reduce the magnification difference generated at the edge of astigmatic lenses, to reduce visual distortion, so that the wearer can reduce the dizziness of the wearer when wearing the astigmatic lenses, improve the experience of the wearer.

The invention discloses a high-definition spectrum precise-control high-color contrast lens and a preparation method thereof, the transmittance of the prepared lens in a visible light wave band of 400-700nm forms a high-fall wave crest and a high-fall wave trough through precise proportioning of specific toner, troughs with transmittance lower than 40% are respectively formed at the junctions of three primary colors, including 490-500nm (blue-green junction), 600-610nm (green-red junction) and 670-680nm (red-black junction), so that stray light is effectively filtered, and color interference and visual distortion are reduced; and the transmittance is greater than 70% near the central wavelengths of blue, green and red light, so that the bright and clear view is ensured. The design enables the lens to form high-contrast wave amplitudes at different wave bands, remarkably improves the spectrum precision control high-color contrast ratio, enables the visual experience to be clearer, more real and more exquisite, and is high in color rendition degree. The lens is suitable for the field of various optical lenses, including myopic lenses, protective lenses and sunglass lenses, not only can meet the requirement for comfortable vision in an indoor low-light environment, but also can resist outdoor strong light stimulation, and ensures a high-definition and high-contrast visual field.

The invention discloses a gear production quality detection method and system based on machine vision, and relates to the technical field of gear intelligent production, and the method comprises the steps of gear image acquisition, image adaptation enhancement, grading defect detection and production quality feedback. According to the invention, image adaptation enhancement is carried out by adopting an image adaptation enhancement method combined with visual distortion perception, surface details and structural features are enhanced in a targeted manner through automatic identification of an illumination distortion area in a gear image, the phenomena of reflective interference and texture fracture are effectively inhibited, and the accuracy of the image adaptation enhancement is improved. Therefore, the recognizable degree of the defect area and the stability of overall detection are obviously improved. A grading defect detection method combined with polar coordinate convolution enhancement is adopted to carry out grading defect detection, through fine modeling and periodic analysis of a gear rotational symmetry structure, the sensitivity and judgment capability of gear structural defects are effectively improved, and more stable and reliable data support is provided for gear quality evaluation.

The invention relates to the field of intelligent driving testing, and discloses a darkroom lane departure early warning electromagnetic anti-interference evaluation method and system, and the method comprises the steps: debugging a projection device, prefabricating an animation for simulating lane departure, including equivalent visual distortion and the like when a lane line deviates leftwards and rightwards, and setting the four actions of leftward movement, return, rightward movement and return to be executed in sequence in a reciprocating manner; a tested vehicle is fixed in a darkroom, the vehicle is fixed on a rotating hub through a bandage, the rotating hub is set to be in a non-loading mode, a pneumatic robot is installed, an instruction is issued in a control room through an optical fiber, the pneumatic robot is made to adjust the depth of a vehicle accelerator, and the vehicle is made to run on the rotating hub according to the required speed. According to the invention, the anti-interference capability of the lane departure early warning system can be accurately tested.

The present application belongs to the technical field of length and area measurement, and relates to a worm and gear meshing contact area measurement method based on image recognition. Three-dimensional grid models of tooth surfaces are constructed by obtaining worm and gear design parameters, and a two-dimensional image pixel and three-dimensional grid model reverse mapping relationship is established by calibrating an image acquisition device. Two-dimensional meshing mark images are collected, and are inversely projected onto three-dimensional grid model development maps to eliminate perspective distortion. Edge pixel gray gradient features of the development maps are extracted, a mapping function of the gray gradient features and tooth surface elastic deformation is constructed based on a Hertz contact mechanics model, and visual distortion areas caused by elastic recovery are corrected. The present application solves the problem of contact area measurement distortion caused by curved surface distortion and mark distortion.

The embodiments of the present application provide an image processing method, apparatus, and electronic device. The method includes: first, obtaining a reconstructed image; then, performing image enhancement on the reconstructed image to obtain an intermediate image; then, determining the texture complexity weight corresponding to each region in the intermediate image, where the texture complexity weight is a number between 0 and 1; and then, based on the texture complexity weight corresponding to each region in the intermediate image, attenuating the texture intensity corresponding to each region in the intermediate image to obtain an enhanced image corresponding to the reconstructed image. In this way, the texture of the textured regions in the intermediate image can be preserved while the texture of the non-textured regions can be attenuated. This enhances the texture of the textured regions in the reconstructed image while avoiding the generation of false texture in the non-textured regions, thereby reducing the visual distortion of the reconstructed image, increasing the realism of the image, and improving the subjective quality of the image.

The invention discloses a quality evaluation method and system for a generated video, electronic equipment and a storage medium, and belongs to the technical field of video quality evaluation. In one aspect, through the combination of learnable text vectors and quality level embedded representations, a pre-trained text encoder is enabled to adapt to a quality assessment task in a parametric efficient manner without modifying its core weight, significantly reducing trainable parameters, and maintaining the semantic understanding ability of pre-training. And on the other hand, the to-be-trained LoRA module is injected into the pre-trained image encoder, and the LoRA module enables the image encoder to capture a specific visual distortion mode of the AI generated video in a low-rank updating mode, so that the problems of parameter expansion and disastrous forgetting caused by full-amount fine tuning of the pre-trained image encoder are avoided. In addition, the generated video output by the text-to-video generation model is used for updating the sample generated video, so that the accuracy of AI generated video evaluation is ensured.

The invention relates to the technical field of video rendering, in particular to an AI aerial video intelligent rendering method based on a scenic area unmanned aerial vehicle, and the method specifically comprises the steps: obtaining aerial video stream data, holder stability augmentation log data and shooting scene metadata of the unmanned aerial vehicle; evaluating the disturbance degree of each frame of picture based on the video stream data and the stability augmentation log data; scene repair strength evaluation is carried out based on the shooting scene metadata; and combining and analyzing the picture disturbance degree evaluation result and the scene repair strength evaluation result to obtain a repair strategy of AI intelligent rendering of the current video segment. According to the method and the device, the problems of single evaluation dimension, scene perception deficiency and restoration strategy stiffness when coupling visual distortion caused by pan-tilt stability augmentation, natural medium motion and a complex depth-of-field structure is processed in the prior art are solved.

The present disclosure relates to the technical field of arc-shaped microcrystalline panels, and particularly relates to an arc-shaped microcrystalline glass plate, and a preparation method therefor and the use thereof. The roughness of the inner and outer surfaces of the arc-shaped microcrystalline glass plate is less than or equal to 0.06 μm; the radial unevenness A of the arc-shaped microcrystalline glass plate is less than or equal to 0.4%, and A=h / L×100%; and 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 in the present disclosure has a flat and smooth surface, can avoid optical scattering, satisfies the visibility requirement, has good flatness, low radial unevenness and axial unevenness, and has no "warping angle" phenomenon or obvious visual distortion.

The present application relates to the technical field of foundation pit engineering image monitoring, and in particular to a method and system for automatic identification and measurement of cracks in a foundation pit support structure, the method comprising the following steps: obtaining a reference image recording the surface state of the foundation pit support structure before applying a cover layer to the surface of the foundation pit support structure; obtaining a calibration image recording the surface state of the foundation pit support structure after the cover layer has solidified; for an existing crack in the foundation pit support structure that exists in the reference image, determining the visual distortion parameter of the cover layer on the existing crack by comparing the apparent differences of the existing crack in the reference image and the calibration image; and determining the source of a new linear feature by comparing the new linear feature with the reference image, thereby effectively reducing the influence of the cover layer on crack monitoring, and having the advantages of being able to reduce the influence of the cover layer on the measurement accuracy of existing cracks and improving measurement accuracy.