2159 results about "Optical property" patented technology

The invention provides a river water quality monitoring method based on multi-source remote sensing data, and belongs to the technical field of river water quality monitoring. The method comprises the following steps: establishing an inherent optical characteristic model of a river water body based on a Hybrid water body radiation transmission model, optimizing a calculation path by adopting a shortest path algorithm, and carrying out water body optical component inversion by adopting a quasi-analysis algorithm and a generalized inherent optical characteristic algorithm in combination with a multispectral characteristic enhancement model to obtain absorption coefficients of all components; and constructing a multi-band combination index to realize optical coupling effect decoupling, and applying the fine-tuned water quality parameter inversion basic model to a target river area to output a suspended matter concentration distribution diagram, a chlorophyll concentration distribution diagram and a transparency distribution diagram. The technical problem of low precision of remote sensing inversion of water quality parameters caused by mutual coupling of multiple optical active components in a river water body is solved.

The invention relates to a curved glass processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: generating a three-dimensional curved surface model corresponding to to-be-produced curved glass based on geometric parameters, mechanical property data and optical property data of the to-be-produced curved glass; according to the model data of the three-dimensional curved surface model, dynamic stress distribution information of the curved surface glass to be produced is determined; generating a forming control instruction set of the curved glass to be produced according to the model data and the dynamic stress distribution information; obtaining formed curved glass according to the forming control instruction set; carrying out annealing treatment on the formed curved glass to obtain treated curved glass; and obtaining first point cloud data of the processed curved glass and second point cloud data of the three-dimensional curved surface model, and determining a quality detection result of the processed curved glass according to the difference between the first point cloud data and the second point cloud data. By adopting the method, the processing accuracy of the curved glass can be improved.

The invention relates to the technical field of cloth dyeing uniformity detection, in particular to a cloth dyeing uniformity detection method and system based on image analysis, and the method comprises the steps: building a three-dimensional optical response model according to the optical characteristics of a fluff cloth fiber material; calculating to obtain a villus shadow intensity distribution diagram according to the linear polarization degree image data, and calculating to obtain a theoretical artifact reflectivity distribution diagram through a three-dimensional optical response model according to the villus shadow intensity distribution diagram and the surface normal vector mapping data; extracting an actual measurement reflectivity distribution diagram from the hyperspectral image data, and performing differential operation on the actual measurement reflectivity distribution diagram and the theoretical artifact reflectivity distribution diagram to obtain a real dyeing component diagram; dividing villus unit grids on the real dyeing component graph, and calculating a spectral fingerprint variance value of pixels in each villus unit grid; and when the spectral fingerprint variance value exceeds a preset process tolerance threshold value, judging that the corresponding fluff unit grid has a real dyeing defect. And the identification precision of the dyeing defects of the fluff cloth is effectively improved.

The invention relates to the technical field of ballast water treatment, in particular to a ballast water treatment-ultraviolet cooperative control method and system based on multi-parameter feedback, and the method comprises the steps: collecting turbidity, pressure gradient, ultraviolet light transmittance and biological activity data in real time through multiple types of sensors arranged at an inlet of a filter unit, the surface of a filter screen and an ultraviolet reactor; a composite control model fusing hydromechanics and optical characteristics is constructed, and closed-loop cooperation of aperture dynamic adjustment, ultraviolet dose compensation and directional backwashing is realized. The method is characterized in that an electrostriction filter screen is adopted to realize local aperture gradient control so as to balance flux and precision; an ultraviolet dose dynamic compensation algorithm is designed, and the irradiation efficiency is enhanced and improved in combination with a vortex flow field; and establishing a linkage optimization mechanism of the backwashing period and the service life of the equipment. A real ship verifies that the method can effectively reduce comprehensive energy consumption, can adapt to water quality fluctuation of different sea areas in the world, and meets the long-acting compliance requirement of the IMOD-2 standard.

The invention discloses a security camera lens production process dynamic multi-parameter process monitoring method, and relates to the technical field of multi-parameter process monitoring. The method comprises the following steps: collecting process parameters and waviness characteristic data; collecting optical characteristics and physical response data of security camera lens raw materials; discretizing the data, and generating raw material standard data according to material types and performance; collecting real-time polishing data, and calculating to obtain a polishing deviation factor vector; calculating a weight through an entropy weight method to obtain a polishing alarm correction index, giving an alarm and adjusting polishing parameters when the polishing alarm correction index exceeds a threshold value, and obtaining corrected geometric feature data; the method comprises the following steps: collecting data in a coating stage, obtaining coating material response and processing environment data through a two-dimensional feature extraction method, and respectively calculating a material response deviation index and a processing environment disturbance index; and combining the two indexes to obtain the comprehensive deviation index of the coating process. According to the comprehensive deviation index of the coating process, the production process of the security camera lens is monitored in real time.

The invention belongs to the field of image generation, particularly relates to a three-dimensional image generation method based on spherical reflection cavity parameter optimization, and aims to solve the problems of low imaging precision and poor adaptability caused by lack of a collaborative optimization mechanism in the prior art. The method comprises the following steps: acquiring optical characteristics of the inner wall of a cavity to generate a reflection path offset comparison table, measuring deformation deviation of the cavity to construct a geometric compensation mapping relation, and monitoring environmental disturbance in real time and converting the environmental disturbance into a noise intensity coefficient; inputting the target three-dimensional image into a pre-compensation processor, synchronously executing optical path compensation, geometric distortion correction and environmental noise suppression, and outputting a pre-corrected image to projection equipment; capturing an actual projection through an image sensor, extracting difference data with the pre-corrected image, and decomposing the difference data into a system error component and an environment interference component; and feeding back the updated parameters to the processor to regenerate a final three-dimensional image. According to the invention, multi-error-source cooperative correction and dynamic optimization are realized, and the imaging precision and adaptability are significantly improved.

The invention discloses a skin targeted therapy laser control method and system based on a dual-wavelength synergistic effect, and the method comprises the steps: collecting the real-time morphological characteristics and pigment distribution data of skin tissues through a multispectral imaging unit, and recognizing the optical characteristic parameters of a target treatment region; generating a dual-wavelength combination scheme through a dynamic wavelength selection algorithm based on the optical characteristic parameters and the tissue structure characteristics of the target treatment area; according to a dual-wavelength combination scheme, generating a synergistic laser sequence with a specific pulse interval and energy ratio; the synergistic laser sequence is converted into a driving signal, and a dual-wavelength laser is controlled to output composite laser; and laser output parameters are dynamically adjusted through real-time thermal diffusion monitoring and an optical feedback mechanism. By utilizing the embodiment of the invention, accurate and selective heat dissipation of skin target tissues can be realized, surrounding normal tissues are effectively protected, the treatment safety and effectiveness are improved, and side effects are reduced.

The invention relates to the technical field of display screen defect detection, and discloses a mobile phone display screen defect detection method, device and equipment and a storage medium, and the method comprises the steps: collecting display images of a to-be-detected mobile phone display screen at a plurality of observation angles; the reflection intensity distribution of the display image is analyzed by using polarization optical characteristics, and a de-reflection image is generated after surface reflection components are separated; transforming the pixel brightness of each observation angle in the de-reflection image to a unified reference viewpoint to obtain a unified reference viewpoint image, and extracting a first defect feature vector of each pixel in the unified reference viewpoint image; and fusing the first defect feature vectors extracted from multiple observation angles to obtain a second defect feature vector, comparing the second defect feature vector with a preset threshold, and outputting a defect detection report. According to the application, multi-angle information advantages are utilized, and a defect classification mechanism based on RGB channel response differences is established; and various defect types of bright spots, dark spots, color cast and line defects can be accurately distinguished.

The invention discloses an inland water body water quality multi-index remote sensing monitoring method based on a knowledge graph. The method comprises the following steps: collecting multi-source remote sensing image data, water body appearance and inherent optical characteristic data and historical water quality monitoring data of a target water body area; analyzing a response relationship between the optical characteristics of the water body and water quality components by using the obtained remote sensing reflectivity-optical characteristic-water quality parameter combined data set, and determining key information elements of remote sensing inversion of each water quality parameter of the water body; and constructing an inland water quality multi-index remote sensing inversion knowledge graph, and realizing time-space continuous monitoring of multiple water quality indexes of the water body by utilizing remote sensing images. According to the method, remote sensing monitoring results are complemented by means of a map reasoning technology, so that the completeness of monitoring data is remarkably improved; the defects of the prior art in the aspects of multi-index comprehensive monitoring and knowledge association expression are overcome, and novel technical means and decision support are provided for lake and river ecological environment management.

The invention provides a home overall design method and system based on virtual reality. Wherein indoor environment data are collected in real time in a spatial gridding mode through a distributed temperature and humidity sensor array and a multispectral illumination sensor, and heterogeneous data are fused by using a spatial topology association engine to generate a three-dimensional environment parameter set. And based on the space coordinate weight matrix of the parameter set, driving a micro-electro-mechanical execution unit of the dynamic optical reflection film layer to adjust the surface inclination angle and the refractive index so as to form an optical reflection characteristic distribution diagram. And a three-dimensional light field model dynamically linked with physical illumination distribution is further constructed in the virtual scene, adaptive compensation operation of temperature and humidity parameters is triggered in real time according to physical space illumination intensity changes, characteristic parameters of the reflecting film layer are synchronously and reversely regulated and controlled, and a closed-loop control link is formed. According to the technical scheme provided by the invention, the full-dimensional precise synchronization of the optical characteristics of the material, the temperature and humidity influence and the illumination distribution in the home design scene is realized.

The invention belongs to the technical field of environmental monitoring, and particularly relates to a super-resolution fluorescence imaging analysis method based on hypersensitive fluorescent quantum dots. The quantum dots have high water solubility and stability, and can emit narrow-bandwidth fluorescence due to unique optical properties of the quantum dots. According to the invention, a quantum dot luminescent material is adopted to construct an ultra-high resolution microscope system which can be used for observing composite behaviors between micropollutants and quantum dots on a microscopic scale, and a three-dimensional fluorescence microspectrometer and a computer vision algorithm are integrated; the whole reaction process is deduced according to the evolution of the three-dimensional fluorescence spectrum between the micro-pollutants and the quantum dots in different space (concentration), time (reaction process) and chemical dimensions, and a multi-dimensional fingerprint spectrum is formed according to the whole reaction process and is used for identifying and tracing the micro-pollutants. The method has the advantages of being high in detection speed, high in fingerprint performance and less in interference of background factors.

The invention relates to a material that is at least partially transparent and that has structures introduced into its internal volume after material production, which modify the volume with respect to its optical properties compared to the unstructured volume. The material according to the invention is characterized by its formation as an at least partially transparent surface coating, wherein the structure comprises modification bubbles that are formed in at least one plane within the volume.

The invention relates to an optical satellite absolute radiometric calibration method, device and equipment under ocean low brightness based on an offshore pseudo-invariant field and a medium, and belongs to the technical field of in-orbit absolute radiometric calibration. According to the method, a marine pseudo-invariant field with stable water and atmospheric optical characteristics is determined according to marine observation data of a calibrated optical satellite, the off-water radiance of the marine pseudo-invariant field is calculated according to the chlorophyll a concentration of the marine pseudo-invariant field, the zenith radiance is theoretically calculated, a data source is provided for absolute radiometric calibration of a satellite to be calibrated, and calibration is completed. The method explores the potential of the marine pseudo-invariant field in supplementing the traditional radiometric calibration method, gets rid of the limitation of a fixed and single marine optical buoy MOBY site data source, improves the data volume, the coverage area and the acquisition frequency of effective calibration data, provides guarantee for the continuity of an optical satellite observation task, and has a wide application prospect. And a plurality of calibration sources can be utilized to realize rapid and accurate calibration of the optical satellite, so that the calibration efficiency of the offshore optical satellite is remarkably improved.

The invention relates to the technical field of coating detection, and particularly provides an aluminum pigment thickness uniformity analysis and detection method and system.The method comprises the steps that a multispectral image and a polarization image of an aluminum pigment coating are obtained, and geometrical shape information of a base material is obtained; analyzing whether the aluminum pigment coating has a non-uniformity defect or not according to the multispectral image and the polarization image; when the non-uniformity defect exists, acquiring the defect type and the optical characteristic of the non-uniformity defect according to the multispectral image and the polarization image; acquiring a target light source parameter and an image sensor target receiving angle according to the defect type, the optical characteristic and the geometrical shape information; adjusting a light source and an image sensor of the aluminum pigment thickness uniformity analysis and detection equipment according to the target light source parameter and the target receiving angle of the image sensor; the method comprises the following steps: acquiring a coating image by using aluminum pigment thickness uniformity analysis and detection equipment, and acquiring non-uniformity defect characteristics according to the coating image; according to the method, adaptive adjustment of detection parameters can be realized.

The invention relates to the technical field of lake chlorophyll a inversion, and provides an inland lake chlorophyll a inversion method and system based on hyperspectral data, and the content of chlorophyll a in a lake range is inverted through a multiband index model and a regression method. Firstly, hyperspectral image data of a lake is obtained and preprocessed to remove noise and improve data quality. Then, extracting a water body range by adopting an NDWI index, and extracting wave band information of different sampling points; based on optical characteristics of lake water quality, a multiband index model considering pigment absorption and remote sensing reflectivity is constructed, and an inversion model is optimized in combination with regression analysis. According to the method, the hyperspectral remote sensing image data are collected and fused only through actual measurement of a small number of points, the constructed model is applied to the lake chlorophyll a distribution characteristics on the scale of a monitoring area, accurate inversion of the concentration of the chlorophyll a in the whole area of the lake can be achieved, and the problem that the accuracy is low when remote sensing data is singly adopted for inversion is solved.

The invention provides an ICESat-2 turbid water area sounding correction and water depth inversion method based on optical characteristics of a water body. The method comprises the following steps: S1, obtaining photon data and an optical remote sensing image of a near-shore turbid water research area, and carrying out preprocessing operation on the data; s2, performing spectral sensitivity analysis by acquiring an ICESat-2 photon error value and combining optical characteristics of a water body; s3, constructing an ICESat-2 turbid water area sounding compensation model based on water optical characteristics, and selecting the model preferentially according to evaluation indexes; s4, synthesizing a multi-temporal image, and realizing model adaptive adjustment of different space weight distribution based on the spectral sensitivity difference of the turbid water area; s5, constructing an ICESat-2 and remote sensing image joint inversion water depth model based on turbidity partitioning; s6, spatial interpolation is carried out on a water depth inversion result, residual noise and adjacent pixel differences possibly occurring in the image are suppressed, and continuous water depth is obtained; according to the invention, large-range water depth inversion without field actual measurement work can be realized.

The invention provides a hidden camera detection method and system based on image recognition. The method comprises the following steps: scanning an area to obtain an image data set; based on optical characteristics of a hidden camera lens material, reflectivity difference feature vectors under different wavebands are extracted; inputting the feature vectors into a neural network to generate comprehensive feature representation; scanning the same detection point, obtaining a time sequence feature sequence, and analyzing the time consistency of the features; detecting and analyzing the suspected camera area, and calculating a roundness coefficient C as C < gt >; 0.7, judging that geometrical characteristics of the lens are met; determining coordinates of the hidden camera in the three-dimensional space; according to the comprehensive feature representation, the time sequence consistency analysis result and the geometrical shape verification result, calculating the existence probability Pfinal of the hidden camera, wherein Pfinal gt; and when 0.85, outputting a detection alarm signal, and displaying a detection result and three-dimensional positioning information. The detection accuracy can be improved, and the false alarm rate can be reduced.

The invention relates to the technical field of exhibition lamps, in particular to an exhibition lamp and an exhibition method, and the method comprises the following steps: inputting preset exhibit database information, extracting exhibit numbers, material types, dominant tone ranges and size information, carrying out point-by-point scanning on exhibit surfaces, collecting reflection spectrum data, converting the reflection spectrum data into CIELAB values, and integrating the extracted information and the collected data. And establishing an exhibit basic information set. The comprehensive exhibit basic information set is established by combining the preset database information and the real-time scanning and acquisition of the surface reflection spectrum or the CIELAB value of the exhibit, so that the subsequent illumination design can be carried out based on the unique optical characteristics of each exhibit, the accuracy and pertinence of personalized illumination are improved, and the material details and color levels can be deeply revealed. Secondly, processing the optical data of the exhibit by using a preset weight set associated with a specific display target, and generating an ideal display illumination parameter including spectral distribution and a brightness value;

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

The invention relates to the technical field of unmanned aerial vehicle searchlighting control, in particular to an unmanned aerial vehicle searchlighting control system, which comprises a multi-source data acquisition module for acquiring a water surface image and unmanned aerial vehicle flight data; the water surface type analysis module is used for judging a calm or wave water surface according to the image gray variance and the edge density; the searchlighting output sub-control module is used for selecting a lamp control strategy according to a water surface type, identifying a high-confidence target in combination with multiple features and determining a wick power distribution parameter; the searchlighting output execution module drives the lampwick to illuminate according to the parameters; the target real-time tracking module is used for calculating the projection angle adjustment amount of the searchlight to aim at the target; according to the system and the method, the problem that an existing searchlight system cannot dynamically adapt to water surface optical characteristics, suppress reflection interference and accurately illuminate in a complex water environment at night can be solved, and the accuracy and efficiency of target recognition are remarkably improved.

The invention discloses a film strength detection method and related equipment, and the method comprises the steps: carrying out the multi-angle broadband scanning sampling of the whole process of an incident light beam penetrating through a lens, recording the transmission light intensity, group phase and scattering power, and generating a reference transmission spectrum matrix; applying low-amplitude periodic ultrasonic vibration disturbance to the lens according to the reference matrix, synchronously obtaining a transmission spectrum time change curve, and performing time domain analysis to obtain a stress response characteristic matrix; determining a detection path by integrating the two matrixes, performing incremental load scratch disturbance along the path, recording data of transmission light intensity and scattering power changing along with the load in real time, and forming a critical damage response data set; performing fine grid transmission light scanning on the scratch and the neighborhood, acquiring multi-angle scattering distribution, and constructing optical characteristic distribution data; and performing multi-dimensional analysis on the data, and outputting a result. According to the scheme, early-stage accurate identification and evaluation of microcracks in a lens film layer and interface hidden defects are realized, and the use reliability of the lens is improved.

The invention provides a target distance estimation method and system based on optical characteristics of a holder, and the method comprises the steps: carrying out the automatic target detection and tracking shooting of a to-be-detected target at a current visual angle, and obtaining a target video of the to-be-detected target; meanwhile, the cradle head posture and the camera focal length are collected in real time; performing target detection according to the target video to obtain key feature points of the target; performing distortion correction on the key feature points through image coordinate mapping to form a unified image coordinate system; combining the image coordinate system with the attitude information of the holder, and mapping the image coordinate system to a three-dimensional virtual space to construct a virtual coordinate system; and calculating the target distance of the to-be-measured target according to the geometric position of the to-be-measured target in the virtual coordinate system. According to the invention, the target distance can be accurately estimated in a complex scene and at different visual angles based on the holder system with a dynamic attitude adjustment function, and the method has the technical effects of real-time performance and robustness.

The utility model relates to a heating system for dehydrating and sintering a loose body, and the heating system comprises an isolation cylinder which is internally provided with a high-temperature heating area and is provided with a gas inlet, and the gas inlet is used for providing reaction gas for the high-temperature heating area; the rod feeding device is movably arranged in the axis direction of the isolation barrel and is used for moving the loose body to a high-temperature heating area in the isolation barrel; the first heater is arranged on the outer side of the isolation barrel and used for heating the isolation barrel to form a high-temperature heating area; and the second heater is arranged on the rod feeding device and faces one end of the loose body, and the second heater is used for heating the loose body. According to the technical scheme provided by the invention, the difference of geometric dimensions and optical characteristics of each part of the loose body after the dehydration and sintering process of the loose body can be reduced, and the quality of the optical fiber preform is improved.

The invention relates to the technical field of three-dimensional scanning, and particularly discloses a three-dimensional scanning efficiency and precision balancing method and system based on a self-adaptive sampling strategy. The method comprises the following steps: acquiring prior data and scanning state data of a target object, fusing an initial three-dimensional point cloud, a multispectral reflection image and reflection intensity information, accurately extracting and correcting surface curvature distribution characteristics, generating a local geometric feature vector sequence by combining geometric and optical characteristics, quantifying a scanning priority, marking a scanning path based on the sequence, and obtaining a target three-dimensional point cloud image. A scanning strategy matrix is constructed by combining equipment geometric positioning precision, maximum scanning speed and time constraint, differential scanning parameter matching is realized, a local compensation sub-path is dynamically generated through real-time quality monitoring during scanning, a main path and a supplementary scanning path are spliced, and an output result is output, so that scanning efficiency and precision are pointedly balanced, and the scanning precision is improved. Local data missing or quality reduction is avoided, the accuracy of the key area is guaranteed, and the overall scanning efficiency is improved.

The invention relates to the technical field of gas component analysis, in particular to an air quality detection method based on multifunctional detection, which comprises the following steps: generating an optical characteristic time sequence table through a polarized light ratio, judging pollutant types, extracting a concentration inflection point and a sudden change rate, merging and identifying emergencies and concentration jump, and outputting an air quality detection result. According to the method, the ratio of the reflected light intensity in the primary scattering direction to the reflected light intensity in the secondary scattering direction is recorded, an aerosol optical characteristic time sequence table is constructed, and optical differences are extracted to achieve fine classification of pollutants; by combining scattering angle priority judgment, pollution attribute recognition precision is improved, concentration inflection points are positioned through time sequence difference, sudden change behaviors are recognized through rate analysis, response sensitivity to dynamic pollution changes is enhanced, pollution structure classification and rate statistics are combined, comprehensive interpretation capacity of pollutants under time sequence and attribute two dimensions is enhanced, and the method has the advantages of being high in accuracy and high in reliability. And high-timeliness and high-resolution air quality monitoring can be realized.

The invention belongs to the field of virtual image display, particularly relates to a spherical reflection cavity virtual calibration method based on a neural radiation field, and aims to solve the problems that micron-level deviation is difficult to accurately capture due to interference of a high-reflection surface, and an executable correction instruction cannot be generated by fusing process constraints. The method comprises the following steps: deploying image acquisition equipment around a cavity to synchronously capture a multi-view optical image sequence; inputting a neural radiation field model, reconstructing a three-dimensional geometric structure and optical properties through a volume rendering technology, and dynamically optimizing and fitting reflection characteristics and curvature changes of a carbon fiber material; extracting spherical radius, local curvature and boundary contour parameters, and comparing the parameters with design specifications point by point to generate a deviation distribution diagram; generating a multi-level calibration instruction set based on the deviation distribution diagram in combination with the laying layer tolerance and the assembly clearance; and outputting an instruction to the manufacturing system to execute physical adjustment, and re-collecting the image to verify the calibration effect until the acceptance index is met. According to the invention, the deviation capturing precision is improved, and a correction instruction can be generated.

The invention discloses a medical image rendering method and device based on ray tracing. The method comprises the steps of data preprocessing, wherein reading and format analysis are conducted on input medical image data; performing linear mapping processing of data values on the data, and establishing mapping from the data values to optical characteristics; constructing a hierarchical octree space structure: constructing a multi-level space division structure for the preprocessed volume data; performing adaptive node subdivision or combination on the spatial division structure and performing spatial index optimization; light tracing calculation: generating main light rays, irradiance light rays and scattered light rays, and calculating an intersection relation between the light rays and voxels; calculating an illumination integral and a propagation effect based on the intersection relation; and performing image optimization rendering: performing multi-resolution rendering based on the illumination integration, and adaptively controlling the sampling density. According to the method, an octree acceleration structure and a mixed light propagation strategy are adopted, and an efficient and accurate rendering effect is achieved by optimizing a light tracing algorithm and application of the light tracing algorithm in a medical scene.

The invention discloses a three-dimensional packaging modeling method based on NeRF and a diffusion model, and the method comprises the steps: firstly receiving demand description information, fusing packaging physical constraint conditions for joint coding, and forming a comprehensive condition vector; secondly, a cross-path dynamic information exchange mechanism is established through a geometric generation path and a texture optimization path, an initial three-dimensional packaging model is generated, physical consistency constraints are added, and NeRF is used for conducting volume rendering reconstruction on the initial three-dimensional packaging model; and then introducing an observation distance adaptive dynamic scale perception neural radiation field optimization mechanism, and generating a multi-scale NeRF model after scale perception optimization. And finally, establishing mapping of physical attributes and optical characteristics of the packaging materials, and generating a final three-dimensional packaging model through independent optical calculation and physical synthesis processes of the multi-layer materials. According to the method, the semantic understanding deviation of CLIP coding in vertical field application is solved, and the material reality representation of industrial-grade three-dimensional packaging modeling is realized.

The invention provides a clothing 3D virtual fabric texture dynamic simulation method and device, equipment and a medium, and the method comprises the steps: obtaining multi-layer fabric data, carrying out the mathematical modeling of the microstructure features and macroscopic physical attributes of the multi-layer fabric data, and obtaining a hierarchical material model; calculating vertex displacement data and interlayer contact pressure of the fabric data of each layer in the dynamic deformation process through a physical engine, and generating vertex coordinates and deformation gradient data after deformation; constructing a dynamic light transmittance field according to the deformation gradient data and the hierarchical material model, and generating a light transfer matrix representing an interlayer light attenuation relationship through a ray tracing algorithm; performing dynamic displacement compensation on the UV coordinates based on the deformed vertex coordinates and the light transfer matrix to generate a corrected UV coordinate set; and inputting the dynamic light transmittance field and the corrected UV coordinate set into a rendering pipeline, performing multi-channel optical characteristic fusion calculation, and outputting virtual rendering data. By adopting the method, the authenticity of dynamic simulation of the multi-layer fabric can be improved.