238 results about "Specularity" patented technology

The invention relates to the technical field of tooth modeling, and discloses a three-dimensional tooth modeling system based on computer vision, computer equipment and a readable storage medium. According to the method, mirror reflection, diffuse reflection and subsurface scattering components in an original image are separated, mirror reflection intensity is normalized in combination with a dynamic truncation algorithm, pixel saturation is eliminated, groove and nest textures are reserved, a complete point cloud is obtained based on a two-dimensional texture image and cubic spline repair, and a multi-exposure point cloud sequence is obtained through bimodal calibration. The method comprises the following steps: solving the problem of data dislocation, carrying out weight assignment and data fusion on three-dimensional points in a plurality of exposure point cloud sequences to obtain three-dimensional fusion feature data, combining layered optical modeling and photon tracking compensation deviation, fusing clinical constraints, finally dynamically adjusting parameters, feeding back and optimizing, and outputting a micron-sized precision model. The modeling defect caused by difficulty in effectively coordinating feature contribution degrees under different exposure conditions is overcome, and high-precision modeling is realized.

The invention relates to the technical field of workpiece detection, and discloses an intelligent visual detection method and system for the surface of a workpiece, and the method comprises the steps: projecting a polarization structure light pattern to the surface of the workpiece, and synchronously collecting an image of the polarization structure light pattern after deformation on the surface of the workpiece; separating a structured light component and a polarized light component from the image, reconstructing a surface three-dimensional shape according to the structured light component, and generating surface polarization degree distribution according to the polarized light component; performing multi-scale gradient scanning on the surface three-dimensional morphology, extracting edge change features, performing texture consistency analysis on the surface polarization degree distribution, and identifying an abnormal texture mode; identifying a mirror reflection area based on the surface polarization degree distribution, performing height compensation on a corresponding area in the surface three-dimensional morphology, generating a corrected surface three-dimensional morphology, and combining edge change features and an abnormal texture mode; according to the invention, the accuracy and robustness of defect identification can be improved, and the reliability and efficiency of the system in industrial field application are enhanced.

The invention provides an apparent defect detection system and method based on CCD image recognition. A specular reflection interference area meeting a preset difference condition is recognized through a first surface reflection image and a second surface reflection image of a target patch element; extracting corresponding orthographic gray scale data from a third surface orthographic image obtained by adopting coaxial light source irradiation based on the specular reflection interference area; according to the brightness distribution gradient of the specular reflection interference area in the first surface reflection image and the second surface reflection image, constructing a texture restoration guide map, and using the texture restoration guide map to carry out texture restoration on the orthographic gray scale data to generate a texture restoration image of the specular reflection interference area; and generating a defect identification reference image for eliminating specular reflection interference based on the texture repair image, and outputting an appearance defect identification result of the target patch element by the defect identification reference image. According to the technical scheme provided by the invention, the defect detection of the patch element can be realized under the interference of mirror reflection.

The invention belongs to the technical field of image processing, and particularly relates to an aluminum bar quality detection method and system based on machine vision, and the method comprises the steps: obtaining a gray image of the surface of an aluminum bar; constructing a structure tensor for describing the distribution of the pixel points in the local gradient direction, and obtaining gradient coherence indexes of the pixel points according to feature values of the structure tensor; according to the gradient coherence index, the gray value of the pixel point and the gray value mean value and the gray value standard deviation in the neighborhood, obtaining coherence weighted saliency of the pixel point; according to the coherence weighted saliency and the coherence weighted saliency of all the pixel points in the pixel point neighborhood, acquiring a defect probability index of the pixel points; and performing aluminum bar surface quality discrimination according to the defect probability index. According to the method, through combination of gradient coherence and local brightness statistical characteristics, interference of specular reflection light spots on the surface of the aluminum bar and wiredrawing texture noise is effectively inhibited, and accuracy of detection of weak defects such as scratches is improved.

The invention discloses a machine vision-based enzyme freeze-dried powder quality detection method, and belongs to the technical field of machine vision, and the method specifically comprises the following steps: in a closed optical cavity, synchronously collecting a multispectral polarization sequence of a sample through annular multispectral polarization illumination and microscopic imaging; performing short-time airflow pulse disturbance and continuous imaging on the sample, and constructing a polarization time sequence texture map by means of inter-frame polarization retention difference; according to Stokes parameters, calculating a deskewness graph and a specular reflection component graph, and carrying out joint normalization on the deskewness graph and the specular reflection component graph and the polarization time sequence texture graph to form a multi-channel feature stack; constructing a double-branch encoder, and performing comparative learning on the feature stack to generate an impurity prototype dictionary; using the dictionary to match the feature stack pixel by pixel, and tracking and inhibiting powder agglomeration false detection through a topological constraint connected domain; and recovering a height map by using an oblique incidence fringe phase shift method, performing pixel-level fusion with the candidate image, retaining targets with height abrupt change and consistent polarization characteristics, and outputting an impurity mask.

The invention provides an AGV (Automatic Guided Vehicle) visual texture navigation path map real-time generation method, which comprises the following steps: collecting ground glossiness and a gray scale saturation region area, comparing the brightness difference between the gray scale saturation region and a normal region, and identifying the distribution position and the coverage range of a high-reflection region; according to the distribution position and the coverage range of the high-reflection area, extracting a texture missing part covered by the specular reflection patches, and determining boundary coordinates of the texture missing part; according to the optimized light incident angle distribution, the gray jump amplitude when the AGV drives into the polished tile area from the rough cement ground is collected, and the transition intensity of material change is evaluated; and filling a texture missing region in the path map by using the reconstructed complete texture features, and integrating the texture information of the path map to generate a complete AGV navigation path map.

Systems and methods of virtual displays to generate virtual images. Some display systems comprise a light source and a plurality of specular reflectors to produce virtual images that have a monocular depth that is closer to a viewer than an exit aperture optic or other optical component of the display system. In some embodiments, sensors or cameras detect a property of a viewer or of an environment to impact the virtual image or to provide sensory feedback to the viewer.

Methods and systems for generating a sound. The method includes obtaining meshes representing at least one object in a frame of an environment, the environment including a source and a receiver; determining spatial continuity information and reflection normal information of the meshes; determining, based on the spatial continuity information and the reflection normal information, reflection paths between the source and the receiver involving the at least one object, each of the reflection paths having at least one reflection point associated with the at least one object; obtaining spatially sampled results by spatially sampling a space around the at least one reflection point of reflection paths using multiple distributions of rays, the spatially sampled results correlating with geometric information of the meshes; generating reflection amplitude responses for each of multiple audible frequencies in the environment based on the spatially sampled results; and producing a sound based on the reflection amplitude responses.

The invention provides an unmanned aerial vehicle inspection tour anti-dazzle visual angle optimization method and system based on background perception. Acquiring a key detection area of the inspection target; candidate shooting poses of the unmanned aerial vehicle are generated for the key detection area; constructing a glare risk function based on the material type parameters, the solar incident angle and the deviation angle between the camera observation direction and the mirror reflection direction; constructing a contrast scoring function based on the brightness corresponding to the background type and the reflection brightness corresponding to the key detection area; a target shooting position is selected according to the glare risk function and the contrast scoring function, and an unmanned aerial vehicle inspection track is generated; the shooting visual angle of the unmanned aerial vehicle is automatically selected and adjusted in a complex natural light environment, the image failure risk caused by high reflection, silhouette and low contrast is reduced, and the detectability of defects of key parts is improved.

The invention discloses a vehicle distance measurement and calibration method based on laser radar and binocular vision fusion, relates to the technical field of measurement and calibration, and is used for solving the problem that the precision of a vehicle distance calibration result is reduced when a laser radar used for calibrating a highway vehicle distance snapshot system is under the conditions of rain, snow, wet and slippery or waterlogging road surfaces. Joint modeling is carried out on spatial distribution and echo energy characteristics of laser radar low-height point cloud, a point cloud echo coefficient and a low-height number proportion are introduced, a specular reflection state code is constructed, a self-calibration mechanism is adaptively triggered accordingly, and a specular reflection state is obtained. The discrete characteristic of a laser radar vehicle distance time sequence and the degradation trend of binocular vision parallax connectivity are subjected to quantitative analysis, the dominant source of ranging abnormity is judged through symbolic analysis, and an offset calibration or fusion correction strategy is selected according to the dominant source. Reliability and engineering adaptability of vehicle distance measurement under the wet and slippery road surface condition can be improved under the condition of not depending on an additional sensor.

The invention discloses an illumination scene rendering method and device, a computer readable storage medium and a computer program product, and the method comprises the steps: setting a plurality of illumination probes in a three-dimensional Gaussian splashing scene, and determining a first spherical harmonic coefficient of each illumination probe based on the light field data of the three-dimensional Gaussian splashing scene, the illumination probe is used for collecting omnidirectional illumination information of a spatial point of a three-dimensional Gaussian splashing scene; for each unshielded pixel of the to-be-rendered object, determining indirect diffuse reflection light for the to-be-rendered object based on a target spherical harmonic coefficient of a target illumination probe determined by the unshielded pixel, the to-be-rendered object being an object placed in the three-dimensional Gaussian splash scene; for each unshielded pixel, based on the normal direction of the unshielded pixel and the constructed hierarchical Z buffer, indirect specular reflection light for the to-be-rendered object is determined through screen space reflection and a reflection ball; and fusing the indirect diffuse reflection light, the indirect specular reflection light and the direct light to generate an illumination rendering result for the to-be-rendered object.

The invention relates to the technical field of radar remote sensing monitoring, in particular to an airport runway seaworthiness intelligent evaluation method and system based on satellite-ground collaborative awareness, and the method comprises the steps: calculating the signal prominence intensity through the local saliency based on the SAR image pixel amplitude, and primarily screening highlight pixel points; a side lamp possibility index is constructed by combining double constraints of a straight line distribution rule and time sequence position reproducibility, and high-credibility side lamp pixel points are accurately identified from a low-signal-to-noise-ratio background; reversely positioning a runway pixel point area based on the matched parallel edge lamp fitting straight line; constructing a local deformation reference surface by taking an unwrapping phase of adjacent edge lamp pixel points as a benchmark, calculating the reliability of the runway and reconstructing a phase of an untrusted point, and generating a denoised image for airworthiness evaluation; according to the airport runway airworthiness evaluation method, the runway sidelight is used as a phase reference for time-space stability, the problem of phase incoherence caused by specular reflection in a flat runway area is effectively solved, and the accuracy and robustness of airport runway airworthiness evaluation are remarkably improved.

The invention discloses an automatic driving laser radar simulation method for high-fidelity material modeling, and the method comprises the steps: carrying out the high-fidelity modeling of a complete physical process of a single laser channel, and designing a complete technical chain from laser beam modeling, material reflectivity modeling, light path modeling to post-processing. In laser beam modeling, energy space distribution is accurately depicted by introducing an angle attenuation conical beam model; in material reflectivity modeling, a bidirectional reflection distribution function system covering Lambert body, specular reflection, transmission, retroreflection and general materials is established; in light path modeling, traditional single reflection hypothesis is broken through, time-resolved Monte Carlo path tracking and kernel density estimation are adopted, simulation of multi-path reflection and transmission effects is achieved, traditional model bottlenecks are broken through, complex optical phenomena are simulated, the generation mode has expandability and controllability, rare key scenes are efficiently synthesized, and the method is suitable for large-scale popularization and application. And the method has wide field extension potential and high technical universality.

The invention relates to a structured light imaging system suitable for semiconductor SIP system-in-package, which comprises a central camera, and a plurality of groups of DLP projections and side cameras are symmetrically arranged on two sides of an optical axis of the central camera; the DLP projector emits parallel light beams to irradiate the surfaces of the crystal grains, and the side cameras receive reflected light rays in parallel; the device further comprises a control unit, and the control unit sequentially controls the DLP projectors and the side cameras which are symmetrically arranged in pairs to synchronously work and processes image data so as to reconstruct the three-dimensional morphology of the surface of the crystal grain. When incident light emitted by the DLP projector irradiates the surface of the crystal grain at a specific angle, specular reflection light of the incident light propagates in the symmetrical direction according to the reflection law. The side camera and the DLP projector are symmetrically arranged, so that the optical axis of the side camera is consistent with a reflection light path, and a highlight area image generated by mirror reflection is accurately captured. The layout breaks through the limitation of the traditional diffuse reflection hypothesis, so that the morphology information of the high-reflection surface can be completely acquired, and the accuracy and reliability of crystal grain three-dimensional reconstruction in SIP packaging are remarkably improved.

The invention discloses an anesthesia preoperative risk assessment method and system based on multi-source data fusion, and relates to the technical field of medical informationization, and the method comprises the following steps: S001, building a cross-time-scale illumination and skin state combined observation baseline, injecting a micro-amplitude polarization mark in an image collection chain, and obtaining an image collection chain; extracting a hot spot track and a boundary definition curve through frame-by-frame image analysis, and constructing a time reference point set of a reflection behavior; and S002, based on the time reference point set, executing optical reflection decomposition on the observation image sequence, separating mirror reflection and diffuse reflection components under a unified light field model, generating a double-domain characteristic spectrum of a reflection domain and a blood flow response domain, and constructing an artifact risk map. According to the method, the time reference point and the polarization mark are constructed, illumination and reflection behavior modeling and separation are achieved, anti-fact playback, causal checking and dynamic regulation are combined, artifacts are accurately removed, real blood flow features are extracted, and the accuracy and stability of preoperative risk assessment are improved.

The invention relates to the technical field of image processing, and discloses a facial health state assessment method and system based on layered optical modeling. The objective of the invention is to solve the problems of poor face health state evaluation precision and robustness caused by rough optical modeling, mixed reflection components, weak environmental adaptability and insufficient multi-dimensional health index fusion capability in the prior art. The method comprises the following steps: synchronously acquiring a user face video sequence comprising at least two different spectral bands through a multispectral imaging device; constructing a multilayer optical transmission model of the skin tissue, and separating a specular reflection component and a diffuse reflection component from the face video sequence; extracting a physiological time sequence signal related to subcutaneous blood flow activity from the separated diffuse reflection component, and calculating heart rate, heart rate variability and blood oxygen saturation parameters; and fusing the physiological parameters and expression and micro-expression features extracted from the facial video sequence, and outputting quantitative evaluation results of fatigue degree, pressure level and emotional state through a pre-trained deep neural network model. The system comprises a multispectral image acquisition module, a layered optical modeling module, a reflection component separation module, a physiological parameter inversion module and a health state evaluation module. According to the technical scheme, the signal-to-noise ratio and stability of physiological signal extraction in a complex illumination environment can be remarkably improved, the adaptability to individuals with different skin colors and dynamic illumination conditions is enhanced, and more accurate and more robust judgment of the high-order health state is achieved.

The first aspect of this invention provides a polarized illumination system for providing illumination light to biological tissue, comprising at least one laser, a lens, and a polarization-maintaining fiber. The second aspect provides a polarized imaging system for receiving light reflected or scattered by biological tissue after illumination, comprising an analyzer, an imaging lens, and a photosensitive device. The third aspect provides another polarized imaging system, comprising an imaging lens, a polarizing beam splitter, and a photosensitive device. The fourth aspect provides an endoscope system comprising the aforementioned polarized illumination system and polarized imaging system. This invention utilizes the different depolarization characteristics of scattered light at different depths to achieve separate imaging of specular reflection light, surface scattered light, and deep scattered light, greatly improving the visibility of mucosal surface and deep mucosal information, and significantly enhancing the visibility of various mucosal lesions.

The invention discloses a new energy station multi-mode security threat detection and active defense method and system, and relates to the technical field of new energy station security monitoring and intelligent protection, and the method comprises the following steps: constructing a brightness and texture cross-time scale joint observation baseline, extracting a hot spot track and boundary definition curve, and obtaining a new energy station multi-mode security threat detection and active defense model; generating a time anchor point set reflecting the illumination change rate; and performing frame-by-frame optical decomposition based on the time anchor point set, separating a specular reflection component from a diffuse reflection component, extracting a brightness mutation position, calibrating a pseudo peak seed region, and constructing an illumination behavior template. According to the invention, through constructing a time anchor point and an illumination behavior template, accurate identification of illumination disturbance is realized, a false alarm window is compressed in combination with multi-modal verification, a sampling rhythm is reconstructed, pseudo peak energy is adaptively suppressed, the credibility of a target signal is enhanced, and a closed-loop control flow from identification to response is formed. And safe and stable operation of the new energy station in a dynamic environment is effectively ensured.

This application relates to an image denoising method and apparatus, a computer device, and a storage medium. Techniques described herein denoise an image by acquiring a current diffuse reflection image and a current specular reflection image, acquiring a historical diffuse reflection image, and denoising the current diffuse reflection image using the historical diffuse reflection image, to obtain a target diffuse reflection image, acquiring a historical specular reflection image, and denoising the current specular reflection image using the historical specular reflection image, to obtain a target specular reflection image, and fusing the target diffuse reflection image and the target specular reflection image, to obtain a target image.

The invention discloses a display panel and a display device. The display panel comprises a substrate, a pixel definition layer, a plurality of light emitting units, a packaging layer and a protection layer. The protection layer is arranged on the packaging layer; wherein one side, far away from the substrate, of the protective layer is provided with a microstructure, and the microstructure is used for reflecting ambient light incident to the display panel; and the microstructure at least covers the opening area. According to the display panel, the external environment light is scattered through the microstructures arranged on the light emitting side of the display panel, scattering, diffuse reflection and the like are generated when the external environment light enters the microstructures, mirror reflection is greatly reduced, and therefore the glare phenomenon is improved.

The invention relates to the technical field of petroleum component detection, in particular to a drilling waste component identification and flocculation state detection method based on hyperspectral imaging. According to the method, firstly, data are acquired through the polarization hyperspectral imaging system, specular reflection noise can be effectively suppressed, and the detection precision is improved; secondly, a multi-task deep learning model is adopted to synchronously analyze components and flocculation states, so that efficient and accurate multi-parameter detection is realized; and finally, by outputting a detection result and recommending processing process parameters, a closed-loop solution is provided for practical application, and the intelligent level of drilling waste processing is remarkably improved.

The utility model discloses an image acquisition unit based on an AI image flow measurement algorithm detection system, which comprises a camera, the front end of the camera is connected with a composite filter wheel through a flange plate, the front end of the composite filter wheel is sequentially connected with a polarization lens and a telescopic light shield, the outer wall of the telescopic light shield is provided with a light supplement array, and the light supplement array is connected with the composite filter wheel through a flange plate. An illuminance sensor is embedded in the inner wall of the telescopic light shield, and a control box is further installed on a shell of the composite filter wheel. Through the collaborative design of the telescopic light shield, the polarization lens, the composite filter wheel and the light supplement array, the problems of strong light overexposure, specular reflection, low illumination noise and the like are effectively solved, adaptive adjustment can be carried out by combining the illumination sensor to sense ambient light, the image quality under the complex illumination condition is remarkably improved, and the image quality is improved. And a reliable data source is provided for an AI flow measurement algorithm.

This application belongs to the field of wireless communication technology and provides a general channel modeling method for communication of autonomous vehicles in underground spaces. The method includes: first, initializing model parameters and calculating path loss based on the scene; then, updating the orientation of the transceiver antennas using an attitude matrix and calculating their three-dimensional real-time positions; subsequently, selecting appropriate mechanisms to generate scattering clusters according to different underground scenarios such as pillar-type, tunnel-type, and cave-type, and updating their survival status based on the vehicle's motion state; next, generating and evolving specular multipath components and dense multipath components formed by specular reflection and diffuse scattering within each surviving scattering cluster; finally, combining line-of-sight and the two types of multipath components to calculate the time-varying channel impulse response and generate the channel matrix. This application can provide a more accurate and reliable general channel model foundation for the design, deployment, and performance evaluation of 6G underground communication systems, effectively supporting high-reliability communication assurance for underground autonomous vehicles.

An inspection system for enhancing diffuse scattering from a sample during inspection includes a stage and an optical subsystem, wherein the optical subsystem includes an illumination source, one or more optical elements, and a camera. The inspection system also includes one or more fluid delivery nozzles positioned proximate to the stage. The one or more fluid delivery nozzles are configured to deliver fluid via a fluid flow to one or more reflective components of the sample to temporarily cause adsorption of material on a surface of the one or more reflective components of the sample to cause temporary enhancement of diffuse scattering from the one or more reflective components of the sample. The camera is configured to image the one or more reflective components of the sample during the temporary enhancement of diffuse scattering from the one or more reflective components of the sample.

The invention provides a photovoltaic inspection method and device, electronic equipment and a storage medium, and relates to the technical field of unmanned aerial vehicle photovoltaic inspection, and the method comprises the steps: obtaining the geographic information, photovoltaic array parameters and inspection task parameters of a photovoltaic station; wherein the inspection task parameters comprise inspection time and an expected sampling distance; determining a mirror reflection area of the photovoltaic array according to the geographic information, the photovoltaic array parameters and the inspection time; and by using a heuristic algorithm, based on at least one of the specular reflection area, the photovoltaic array parameters and the expected sampling distance, a determined constraint condition and a cost function, calculating a target shooting point and a target holder attitude of the unmanned aerial vehicle. The accuracy of a photovoltaic inspection result can be improved, and meanwhile, the overall efficiency of photovoltaic inspection is improved.

This invention relates to a thin-film device for optical anti-counterfeiting, belonging to the field of anti-counterfeiting thin-film device design. The device includes a substrate layer; a plurality of micro-cylindrical reflective units, each cylindrical with its bottom surface adhered to the substrate layer; a ring-shaped textured area, also ring-shaped, disposed on the surface of the substrate layer and adhered to the side of the micro-cylindrical reflective units, the ring-shaped textured area being filled with a distorted texture corresponding to the source image to be displayed; and a reflective functional layer disposed on the side of the micro-cylindrical reflective units and in the area of ​​the non-ring-shaped textured area on the surface of the substrate layer, to achieve a specular reflection effect. The thin-film device constructed by this invention miniaturizes the macroscopic "cylindrical specular reflection imaging" system, achieving highly concealed information hiding and display on the thin-film device itself—"without the need for an external cylindrical mirror, the thin-film device itself is both a mirror and an image source"—within which information can be hidden and displayed with high concealment.

Disclosed are an image capturing system, an image capturing method, and a program product, the image capturing system being provided with: a portable imaging device having an illumination unit, a camera, and a measurement unit; the measuring unit is capable of measuring the distance between the imaging device and an object to be imaged and the shape of the object to be imaged, and the processor measures the distance between the imaging device and the object to be imaged and the shape of the object to be imaged. The imaging device assists a user in imaging a specular reflection image when the imaging device moves to a position and direction at which a partial region of the surface of the imaging object, the distance and shape of which have been measured, becomes a specular reflection condition when the imaging object is imaged by the imaging device.

The invention provides a coaxial telecentric imaging tinplate can defect identification method and system, and relates to the technical field of defect identification, the system is composed of a coaxial telecentric camera assembly, a polarization multispectral light source assembly and an image processing and control unit, and can body images with constant magnification are obtained through a telecentric lens and coaxial illumination; a switchable cross-polarization visible light and near-infrared light source is used for synchronously collecting multi-modal images, and separation and difference are carried out on different polarization and wave band images to obtain a specular reflection component image, a diffuse reflection component image and a multi-spectral difference image. The image is divided into a character area, a pattern area and a bottom color area according to the format of the can body, comprehensive judgment is conducted through character comparison, a lightweight neural network and defect area connectivity analysis, automatic recognition of defects such as scratches, through printing and smudginess is achieved, and the accuracy and stability of appearance detection of the tin can on a high-speed production line can be improved.

This invention discloses a CG animation video detection method based on large-model multi-feature data processing, belonging to the field of computer vision technology, including the following steps: S100, constructing a specular reflection-motion coupling observation layer, acquiring geometric feature parameters of the reflected light path in a dynamic scene, generating a reflection phase polarity baseline, and establishing a dual-path topological fingerprint based on the baseline as a detection reference standard; S200, running a time-frequency polarity consistency discriminator, parsing the dual-path topological fingerprint, identifying the phase reversal window, calculating the coherence deviation of the corresponding frequency band, and generating a misleading risk cone with boundary features. This invention, by constructing a reflection-motion observation layer and a topological fingerprint reference, combined with time-frequency consistency discrimination, counterfactual playback, and optical path reconstruction, achieves phase reversal recognition and correction, and effectively improves the accuracy and robustness of CG video authenticity judgment through optical field interference and frequency band modulation of the broken closed-loop coherent path.