30 results about "Visual distortion" patented technology

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.

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.

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.

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 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 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 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.

The present application relates to the field of chip production, and mainly relates to a visual system compensation method and device under high-temperature environment and a storage medium, the method comprises the following steps: S1: acquiring a visual system input image under high-temperature environment; S2: detecting the image through an image processing algorithm; S3: compensating the detected visual distortion; S4: post-processing the compensated image and outputting a final image. The present application detects the visual distortion caused by high-temperature effect in the image through the image processing algorithm, and references a compensation model and trains the model based on the visual characteristic data under high-temperature environment, so as to compensate the thermal deformation and optical distortion of the optical system caused by high temperature, and the device offset and alignment error, so that the visual system can realize the effective method of image quality compensation, optical deformation correction and alignment error under high-temperature environment.

Automatic creation of product photoshoots that seamlessly combine real-life image portions and Artificial Intelligence (AI) generated portions. An input photograph of a product is received, and a background-removed version is generated. The image is fed into a Vision and Language Model (VLM) that generates textual attributes that pertain to the product. The textual attributes are fed into a Large Language Model (LLM), that generates a proposed textual prompt that will command an Image Diffusion unit to generate via Generative AI an image of a scenery that would be appropriate for showcasing that product. The AI-generated image is fed into an AI-based unit that detects and cures visual abnormalities or visual distortions, with AI-based blending and refinement. The method generates a high-definition abnormality-free and distortion-free output image that depicts the real-world product blended seamlessly within the Generative-AI scenery. A similar process performs virtual staging of a room or a house or other venue.

The present application relates to the technical field of data mapping, in particular to a cross-platform geological vector attribute mapping method based on geometric data conversion, comprising separating the geometric sequence, original symbol index and attribute item of source platform data; generating conversion coordinate sequence by using the Boolean seven-parameter matrix and elastic grid deformation algorithm; normalizing the attribute and binding the unique symbol identifier with the coordinate sequence to generate geometric element object; extracting multi-level graphic element logic protocol by using semantic translation operator and constructing multi-dimensional index mapping matrix by using manifold learning; matching target platform entity handle, calculating expression difference compensation factor and performing adaptive alignment; and performing integrated packaging according to the target platform standard. The present application effectively solves the problems of symbol loss, topological distortion and visual distortion in cross-platform migration by decoupling the underlying logic and semantic projection, and eliminates the need for manual secondary redrawing.

The invention discloses an audio and video processing method and device and electronic equipment, and relates to the technical field of audio and video coding and decoding, and the method comprises the steps: determining a dynamic texture region and a static background region of an audio and video based on the time-space domain features corresponding to the audio and video to be transmitted; performing dynamic block coding on the dynamic texture region, and performing compression coding on the static background region to obtain layered coding data corresponding to the audio and video; generating an initial synchronous code stream corresponding to the audio and video based on the layered coding data; performing alignment operation on the initial synchronous code stream to obtain a target synchronous code stream corresponding to the audio and video; and after the target synchronous code stream is transmitted from the coding end to the decoding end, decoding the target synchronous code stream. According to the method and the device, the technical problems of visual distortion and asynchronous lip sound in the audio and video encoding and decoding process caused by processing the audio and the video based on a fixed encoding strategy in the prior art are solved.

The invention discloses a display optimization method and system for data fusion of a multi-modal sensor, relates to the technical field of display optimization, and aims to solve the problems that the image reduction degree is reduced and the visual distortion risk is increased. And evaluating the proportion deviation by combining the reference proportion obtained by the painting database, dividing the scanned copy into different areas, detecting the brightness of each area, calculating the brightness deviation rate, and judging whether to carry out distortion repair or not by combining the proportion and the brightness deviation. In the repairing process, the surface glossiness and the stroke height of an original corresponding to each area are collected, the concave-convex fluctuation characteristics are calculated, the glossiness and the concave-convex fluctuation characteristics are synthesized to calculate a distortion risk coefficient, and a repairing sequence is generated according to risk sorting. And performing distortion restoration on the scanned copy according to the restoration sequence to realize accurate restoration and optimized display of the scanned copy of the artistic painting, so that accurate restoration and display optimization of the scanned copy are realized, and the image restoration authenticity and the visual effect are improved.

The application provides an image generation method and related equipment, the image generation method comprises the following steps: constructing a panoramic environment image corresponding to a current frame image in an environment video, and determining an environment illumination parameter according to the panoramic environment image; setting the spherical harmonic coefficient of a Gaussian primitive in a three-dimensional space model corresponding to a target object as a corresponding solidified albedo coefficient; determining a target rendering color of the Gaussian primitive according to the solidified albedo coefficient of the Gaussian primitive and the environment illumination parameter; generating an intermediate image according to the target rendering color of each Gaussian primitive, and generating a target image containing the target object according to the intermediate image and the current frame image. In the application, the problem of visual distortion of the generated image is avoided.

The embodiment of the invention provides an image coding and decoding method and device, a storage medium and a program product, and relates to the field of image coding. In the embodiment of the invention, feature hierarchical extraction, feature partitioning and adaptive quantization are combined, and non-linear quantization processing is carried out on an image vector based on multiple levels of image features and visual quality weights corresponding to multiple visual feature regions included in the image features by hierarchically extracting the image features of a to-be-coded image, so that the image quality of the to-be-coded image is improved. Therefore, quantization characteristics with different quantization degrees can be obtained, which is beneficial for reducing the coding data volume and improving the image compression ratio. Furthermore, entropy coding is carried out on the quantized features by adopting a coding rate adaptive to the visual quality weight, and the visual quality weight is positively correlated with the coding rate, so that the quantized features of the visual feature region with higher visual quality weight can be ensured to have higher coding rate, visual distortion caused by coding compression is further reduced, and the accuracy of coding is improved. And the overall visual quality of the image is effectively improved.

This invention provides a texture optimization method and apparatus. The method acquires the current position information and topological information of vertices in a mesh in real time, determines the target area to be optimized based on the current three-dimensional coordinates of the vertex, the reference three-dimensional coordinates of the vertex, and the topological information, and optimizes the texture coordinates of the target vertex in real time based on the current three-dimensional coordinates, the current texture coordinates, and the reference texture coordinates of the target vertex to obtain the optimized texture coordinates of the texture target vertex, effectively solving the problem of visual distortion caused by geometric deformation of objects.

The utility model discloses a clamping type glass inoculation bottle convenient to observe. The clamping type glass inoculation bottle comprises a bottle body and a bottle cap which are matched with each other for use, an inoculation liquid feeding opening for feeding materials into the bottle body is formed in the bottle opening, and a plurality of convex lenses are embedded in the middle of the bottle body; the bottle cap comprises a cap body and a cap top fixed to the top face of the cap body, a sampling opening is formed in the cap top, and a sampling puncture silica gel plug is embedded in the sampling opening. The shortest distance from the axis of the inoculation liquid feeding port to the edge of the bottle opening is equal to the shortest distance from the axis of the sampling port to the edge of the cap top, and the axes of the inoculation liquid feeding port and the sampling port do not coincide with the axis of the bottle body or the bottle cap. By means of the design that the convex lenses are symmetrically welded to the two sides, visual distortion during single-side observation is effectively eliminated, dead-angle-free amplification observation is provided, the curvature radius of each convex lens is 5-15 mm, 2-4 times of optical amplification can be achieved, and microbial colonies of 50-200 microns can be clearly observed without external equipment.

This invention proposes a method for converting between color and grayscale images. It can convert a color image to a grayscale image, significantly reducing storage requirements and concealing the true color image; conversely, it can convert the grayscale image back to a color image, restoring the true color image without visual distortion. By utilizing information hiding and data compression to store and transmit color images as grayscale images, the data volume can be reduced to one-third of the original. This ensures that the image holder can recover the original color image, while others can only obtain a grayscale image and cannot recover the original color image from it.

The invention provides a processing method of a UI component, a vehicle machine display device, a storage medium and a program product, the method comprises the steps of generating a water film wrapping layer according to target contour data of the UI component, the target contour data being used for representing geometric morphology characteristics of a target contour of the UI component, and the target contour data being used for representing the geometric morphology characteristics of the target contour of the UI component; the geometrical shape of the water film wrapping layer is matched with that of the target outline; in the embodiment of the invention, the water film wrapping layer is constructed according to the target contour data, and the form of the water film wrapping layer can be matched with the actual contour of the UI component, so that the visual distortion problems such as edge blurring caused by the fact that the actual contour form is not considered in the glassy state effect can be basically avoided; therefore, the visual display effect of the glassy state of the UI component is obviously improved.

The application discloses a water-air cross-medium object three-dimensional modeling method and system based on visual distortion correction, and the method comprises the following steps: acquiring color information, depth information and incident angle information of each pixel of a cross-medium image, and constructing a mathematical equation of an air-water refraction plane; based on each pixel of the cross-medium image, performing refraction distortion compensation and multi-scale phase shift analysis, and constructing an underwater ray equation set, a relationship matrix of pixels and decoding projection coding values; the mathematical equation of the air-water refraction plane determines a water surface normal vector, and the underwater ray equation set and the relationship matrix of the pixels and the decoding projection coding values are combined to perform depth calculation and joint optimization, thereby generating an integrated three-dimensional model. The application can improve the reconstruction efficiency and visual quality of a three-dimensional environment model of an unmanned aerial vehicle. The application can be widely applied to the technical field of three-dimensional modeling as a water-air cross-medium object three-dimensional modeling method and system based on visual distortion correction.

This invention provides a highly transparent nanocomposite film for ultraviolet-blue light protection and its preparation method. The aforementioned highly transparent nanocomposite film achieves a transmittance of less than 5% in the 250–500 nm ultraviolet-blue light band by precisely controlling the core-shell structure and energy levels of ZnCdS@Cd-rich nanocrystals through differentiated ligand ratios, coupled with a low filler content design of 0 < x ≤ 5 wt%. This results in highly transparent nanocomposite films that effectively shield high-energy harmful light radiation while maintaining a transmittance of not less than 90% in the long-wavelength visible light band above 520 nm, balancing protective effect and visual clarity. This solves the shortcomings of traditional materials that either provide insufficient protection or suffer from visual distortion due to poor transmittance. Furthermore, the preparation method is simple and controllable, requires no complex equipment, and is compatible with various coating methods such as drop coating, spin coating, and blade coating, making it suitable for large-scale production.

A myopia prevention and control lens, which is placed in front of a corresponding eye and comprises a substrate (100). The substrate (100) is provided with a plurality of micro-units (101), and the micro-units (101) are provided with convex surfaces and / or concave surfaces, so that when incident light is incident on the substrate (100), the light incident on the micro-units (101) is refracted by the convex surfaces and / or concave surfaces of the micro-units (101), and then diverges in the propagation direction, and the light refracted by different positions of the same micro-unit (101) is incident on different positions in the corresponding eye (200) when entering the corresponding eye. The myopia prevention and control lens increases the proportion of ambient light entering the corresponding eye (200), reduces the proportion of imaging light entering the corresponding eye (200), and can play the role of preventing and controlling occurrence and development of myopia. Moreover, light which is incident on the micro-units (101) of the lens, is refracted and then enters the corresponding eye (200) does not participate in imaging, so that visual distortion, jump and sway effects can be reduced.