595 results about "Linear polarization" patented technology

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 discloses a linear polarization in-band scattering reconfigurable radiation time-sharing regulation array antenna, which belongs to the technical field of antenna engineering, and comprises an antenna unit and a one-to-sixteen power divider, the antenna unit is connected with the one-to-sixteen power divider, and the antenna unit is connected with the one-to-sixteen power divider. The antenna unit comprises a first radiation patch, a first dielectric substrate, a second radiation patch, a second dielectric substrate, a feed coupling branch knot, a feed metal column, a third dielectric substrate, a perforated metal floor and a fourth dielectric substrate, and a first PIN tube, a second PIN tube, a feed transmission line, a direct current bias device, a reflective phase shifter and a low-pass filter are arranged at the bottom of the fourth dielectric substrate; the direct-current bias device is connected with the reflection type phase shifter and the feed transmission line through the low-pass filter, and the feed metal column sequentially penetrates through the third dielectric substrate, the perforated metal floor and the fourth dielectric substrate and is connected with the feed transmission line. According to the invention, the normal radiation efficiency of the antenna can be ensured, and the reconfigurability of antenna scattering can be effectively improved.

The invention discloses a pavement disease high-precision identification method and system based on multi-scale feature fusion, relates to the technical field of road inspection multi-source vision and intelligent identification, and is used for solving the problem of realizing stable image acquisition, strong binding supervision and high-precision disease identification under tail-flow speckles and cross-domain disturbance. Three ends of a vehicle, an unmanned aerial vehicle and a ground site are synchronously collected, time and geometric alignment is completed, the vehicle is put in storage in a quaternary binding mode, corridor route lateral overlapping and linear polarization light control are matched, and positioning and posture tracks are recorded; triggering a micro time window frame cluster in a tail-flow speckle scene, collecting shear reciprocal and phase inversion images, constructing convection discrimination and a mask, executing directional line integration and reverse displacement compensation to obtain an image-stabilized image, and performing gating continuous collection by a coherent image-stabilized score; and then standardized cleaning, multi-scale augmentation, semi-automatic labeling and consistency checking are carried out, a multi-scale feature pyramid is constructed, three-path decoding is carried out, cross-domain training and model compression are combined, and a unified result and a rule list are output.

The invention relates to the technical field of leaf nitrogen content estimation, in particular to a method for establishing a grassland plant nitrogen content monitoring model based on a remote sensing technology. The method comprises the following steps: controlling an unmanned aerial vehicle platform carrying a narrowband multispectral camera and a linear polarization camera, and collecting a spectral image sequence and a polarization image group at an observation window with a solar zenith angle of 30-40 degrees; extracting a reflectivity value of each wave band in the spectral image sequence, calculating a reflectivity first-order derivative and determining a red edge position offset; extracting horizontal and vertical polarization components in the polarization image group, calculating a polarization degree and constructing a polarization degree difference index; and identifying the center of the fecal spot by searching a pixel with a local maximum polarization degree difference index and red edge position offset blue shift exceeding a preset threshold value. According to the method, excrement spot recognition and remote sensing description of the nitrogen influence range thereof are achieved through double-index complementation of the red edge position offset and the polarization degree difference index.

The invention discloses a surface defect detection device and method based on polarized optical dark field imaging, and belongs to the technical field of industrial defect imaging detection, the device comprises a polarization camera, an imaging lens, a polarization annular LED light source and a sample to be detected which are coaxially arranged; wherein the polarization camera and the imaging lens form a polarization imaging system, the polarization annular LED light source emits linearly polarized light with an inclination angle, and the linearly polarized light is reflected and scattered on a sample to be detected; the linearly polarized light enters the surface of a to-be-detected sample, a small amount of reflection and most of scattered light of the to-be-detected sample are collected by the imaging lens and the polarization camera through a circular hole in the center of the polarization annular LED light source, and finally imaging is achieved. The defect depth can be calculated according to the defect width and the defect inclination angle, so that the defect depth is inversed by the low-frequency linear polarization degree, and the problem that the defect depth information cannot be effectively extracted in the prior art is solved.

The invention discloses a nanosecond particle velocity measurement method based on orthogonal line polarization beam splitting, and belongs to the technical field of particle image velocity measurement. The method comprises the following steps: providing two linear polarization state orthogonal double-pulse lasers, and respectively outputting S polarization pulse light beams and P polarization pulse light beams; the four pulse light beams are combined through the double-path laser beam combining mirror set and output to the sheet light mirror set, and a plane illumination jet flow field with the thickness smaller than or equal to 1 mm is formed; scattered light is separated according to a polarization state by using a polarization beam-splitting cubic prism, and particle images under S polarization and P polarization are respectively captured by two double-exposure cameras which are orthogonally arranged; five kinds of time sequence control are triggered through a multi-channel synchronous controller; processing the view field deviation of the two cameras by adopting a block polynomial alignment method; and calculating a particle velocity field based on a particle tracking velocity measurement algorithm. According to the invention, the polarization debugging error is reduced, the homogeneity error after beam combination is obviously reduced, the coincidence degree of the four beams of planar light is improved, and a high-precision universal alignment scheme is provided for the multi-camera PTV technology.

The invention discloses an underwater image de-scattering method, system and device for scattering field decoupling in the technical field of underwater optical imaging and computer vision, and the method comprises the steps: calculating an intensity graph and a scene linear polarization degree graph according to an obtained multi-scale underwater image; according to the intensity image, performing image signal decomposition by using a dynamically constrained background light separation model to obtain a background scattering component and a target feature component; according to the scene linear polarization degree map and the background scattering component, calculating fusion transmissivity according to a non-linear optical transmission equation; carrying out noise suppression processing on the fusion transmissivity by adopting a double-constraint optimization architecture to obtain the fusion transmissivity subjected to noise suppression processing; and performing image reconstruction through a reverse optical propagation model according to the fusion transmissivity and the target feature component subjected to noise suppression processing to obtain a scattering-removed underwater image. The method effectively breaks through the dependence of a traditional method on the uniform hypothesis of a scattered field, and provides high-precision visual restoration support for an underwater detection task.

The invention discloses a linear polarization scattering reconfigurable array antenna, which belongs to the technical field of antenna manufacturing and comprises an antenna unit, an extension socket, a transmission type phase shifter and an inductor. The antenna unit comprises a radiation patch, a first dielectric substrate, a metal via hole, a metal patch, a second dielectric substrate, a perforated metal floor, a third dielectric substrate, a feed metal column and a radio frequency coaxial connector, the radio frequency coaxial connector is connected with the radiation patch through the feed metal column, and a variable capacitance diode and a capacitor are arranged on the transmission type phase shifter. The transmission type phase shifter is connected with the radiation patch through the feed metal column, the variable capacitance diode is connected with the punching metal floor, the bottom of the third dielectric substrate is provided with a direct current bias line, the direct current bias line is connected with the transmission type phase shifter through the inductor, and the transmission type phase shifter is connected with the radiation patch through the feed metal column. According to the invention, flexible regulation and control of antenna scattering beams can be realized, and the antenna has the characteristics of flexible control, fast response speed and high radiation efficiency.

The invention provides a functional composite one-dimensional metal cavity slot array antenna, which belongs to the field of antennae, and comprises a feed cavity and a cover plate located at the top of the feed cavity, a plurality of groups of periodic intermediate-frequency anti-interference metal blocks and high-frequency anti-interference metal blocks are arranged in the feed cavity, and a radiation slot is formed in the cover plate. The polarization conversion structures are arranged on the two sides of the radiation slot in a stepped and open manner to form an undulating shape; an antenna array is also provided. An anti-interference periodic structure is embedded in the feed cavity, the antenna is endowed with anti-interference capacity in multiple different frequency bands, the polarization conversion structures are arranged on the two sides of the radiation slot in a stepped and open mode to form an undulating shape, an electromagnetic signal is input into the feed cavity, linearly polarized electromagnetic waves are radiated outwards through the radiation slot, and the antenna is formed. Linear polarization electromagnetic waves are decomposed into a group of orthogonal components with the same amplitude after passing through the polarization conversion structure, a 90-degree phase difference exists between the two components, circular polarization is formed to radiate towards the space, the polarization conversion structure is simple in structure and convenient to process, and the scattering characteristic of the antenna is improved.

The invention provides a polarization modulation coupling time control phase locking high-temperature noise suppression in-situ Raman method and device, and relates to the technical field of spectrum detection. The method comprises the following steps: exciting pulse linear polarization laser to irradiate a sample to obtain Raman scattering light; a parallel vibration component (P) and a vertical vibration component (S) are obtained, and original spectral data containing polarization information and residual high-temperature noise are collected by adopting an ISCCD detector synchronously triggered by gating. Background noise is removed and a parallel vibration component (P) is extracted through polarization differential processing in combination with adaptive filtering (dynamically adjusting parameters according to signal distribution) and principal component analysis (PCA); and finally, performing signal-to-noise ratio optimization on the pure component by applying a phase locking algorithm to finally obtain a Raman spectrum result with a high signal-to-noise ratio. According to the invention, the in-situ Raman spectrum of the material within the temperature range of room temperature to 3000 DEG C can be measured, and the detection of weak signals is more sensitive.

The utility model discloses an optical imaging system. The optical imaging system comprises a lens cone, an imaging group and a second spacing element, wherein the imaging group and the second spacing element are arranged in the lens cone. The imaging group sequentially comprises a linear polarization film, a reflective polarization element, a quarter-wave plate, a first lens, a second lens, a third lens, a fourth lens and a partial reflection layer from the first side to the second side along the optical axis; wherein the first lens and the second lens are glued, and the third lens and the fourth lens are glued. The second spacer element is disposed on the second side of the second lens and is in contact with the second side of the second lens. Wherein the outer diameter D0m of the second side end face of the lens barrel and the outer diameter D2m of the second side face of the second spacing element meet the condition that D0m-D2m is larger than or equal to 4.51 mm and smaller than or equal to 5.8 mm; the inner diameter d2m of the second side surface of the second spacing element, the inner diameter d2s of the first side surface of the second spacing element, and the axial distance T23 from the second side surface of the second lens to the first side surface of the third lens satisfy the following formula: (d2m-d2s) / T23 is greater than or equal to 0.97 and less than or equal to 2.79.

The application discloses a Ka dual-circular polarization antenna unit and a flat plate array antenna, which comprises, from top to bottom, a radiation patch layer, a slot coupling layer, a waveguide transmission layer and a feed network layer; a plurality of microstrip line structures are arranged on the radiation patch layer, the microstrip line structure comprises a first microstrip line and a second microstrip line, and the first microstrip line and the second microstrip line form a 90-degree phase difference of electric field orthogonal components; the slot coupling layer comprises a second substrate, the second substrate is provided with a source collapse groove corresponding to the microstrip line structure, and the slot coupling layer and the radiation patch layer are relatively displaced under the action of an external force; the microstrip line structure corresponding to the source collapse groove is switched between a left-handed circular polarization microstrip line and a right-handed circular polarization microstrip line through the relative displacement; and the source collapse groove and the first substrate form a linear polarization feed source. According to the application, each dual-circular polarization feed source is used to form dual-circular polarization, and a polarization partition plate of a feed source waveguide is not relied on, so that the thickness of the antenna structure is reduced.

The invention belongs to the technical field of image analysis, and particularly relates to an egg oiling quality detection method based on machine vision, so as to solve the technical problems of low contrast, high light interference and single information dimension of the traditional machine vision in the prior art, and the method comprises the following steps: S1, obtaining a multispectral polarization image of an egg to be detected; s2, obtaining a contour mask and a highlight area mask of the egg; s3, obtaining an effective analysis area; s4, generating a linear polarization degree characteristic pattern representing the uniformity of the oil film; s5, generating a spectral angle characteristic pattern representing the oiling thickness; s6, constructing a region graph which takes each superpixel as a node and the adjacency relation as an edge; s7, fusing the initial feature vectors of the superpixel nodes; s8, identifying and outputting the super-pixel nodes which are judged as oiling defects; and S9, comprehensively evaluating the oiling quality grade of the egg. And automatic and high-precision comprehensive grading of egg oiling quality is realized.

The invention belongs to the technical field of polarization imaging, and relates to a Sagnac broadband linear polarization imaging structure which comprises a second plane mirror, a first polarization beam splitter, a first polarization analyzer, a first imaging lens and a first focal plane array which are sequentially arranged on a first optical axis at intervals. The compensation plate is arranged close to the second plane mirror; the first plane mirror and the first polarization beam splitter are arranged on a second optical axis perpendicular to the first optical axis in a spaced mode and located on the side away from the compensation plate; the first blazed grating and the second blazed grating are reversely arranged at intervals and located on the light path between the first plane mirror and the second plane mirror, and the first blazed grating is close to the first plane mirror. The system provided by the invention is small in adjustment workload, high in accuracy, sufficient in shearing amount compensation, and good in broadband polarization imaging image precision and overall stability.

The invention relates to a linear structured light sensor polarization correction method and system based on reflected polarized light, and the method comprises the steps: obtaining the reflected light intensity of the surface of an object at different polarization angles, calculating a Stokes vector according to the reflected light intensity, building a mapping relation between the reflected light intensity and an incident angle based on the Fresnel law, and correcting the polarization of the linear structured light sensor. Obtaining a light intensity maximum value and a light intensity minimum value; calculating a linear polarization degree based on the maximum light intensity value and the minimum light intensity value, and obtaining an optimal laser incident angle based on the linear polarization degree and the refractive index of the object; constructing a polarization optimization model of a polarization angle and an incident angle by using a Stokes vector, and solving an optimal polarization angle; and acquiring a light stripe image of the polaroid at the optimal polarization angle, and performing polarization correction on the light stripe image based on a Stokes vector to realize three-dimensional measurement of an object. According to the invention, errors caused by factors such as light intensity, incident angle and image quality are effectively reduced, and the measurement precision is greatly improved.

The invention belongs to the technical field of liquid crystal alignment agents, and particularly relates to a liquid crystal alignment agent, a liquid crystal alignment film and a liquid crystal display element. The liquid crystal alignment agent comprises polyamic acid, a main chain of the liquid crystal alignment agent contains short side chain diamine and carbonate bonds, the short side chain diamine can slow down direct collision between film surfaces, carbonyl on a short side chain enhances absorption of ultraviolet light, and the compressive strength of a liquid crystal alignment film and the cracking alignment performance of the liquid crystal alignment film are improved; the carbonic ester bond can improve the voltage holding rate thermal stability of the liquid crystal alignment film and can improve the anchoring force of the liquid crystal alignment film and liquid crystals, the liquid crystal alignment agent with high compressive strength, voltage holding rate, high thermal stability and low linear polarization ultraviolet exposure is finally obtained, the stability of the high voltage holding rate improves the residual image of a display device, and the display effect is improved. And due to high compressive strength, the undesirable phenomenon of ZARA of the liquid crystal display device can be reduced.

The invention discloses a scattering characteristic adaptive polarization imaging non-uniform fog transmission method, which comprises the following steps of: acquiring polarization images at different angles, and calculating Stokes vectors, linear polarization degrees and dual-channel polarization intensity images of the images; constructing a non-uniform fog scattering feature, and estimating a dual-channel non-uniform scattering intensity image; estimating background light at infinity, and calculating a dual-channel polarization intensity transmissivity image; constructing an attenuation matrix of the polarization dual-channel variable-scale degradation model; a polarization dual-channel variable-scale degradation imaging model is constructed, and preliminary restoration of a dual-channel non-uniform fog scene is solved; and iterating the optimal polarization variable-scale degradation matrix to obtain a final restored image of the fogless scene. According to the scattering feature self-adaptive polarization imaging non-uniform fog transmitting method, the problems of overexposure and the like caused by target polarization information loss in a non-uniform fog scene are solved, complete removal of global non-uniform fog of the scene is realized, and target scene information is restored more clearly.

The invention discloses an LCOS optical illumination system for an AR-HUD projection unit, and belongs to the field of photoelectric illumination and display technologies. The system comprises an illumination light source, a collimating lens, a fly-eye lens, an optical diffuser, a wavelength selective light combination element, a polarized light conversion device, a relay lens, a PBS prism and an LCOS display chip. The illumination light source is a three-color LED light source and is composed of a red light LED, a green light LED and a blue light LED. After red primary light, green primary light and blue primary light are collimated by the collimation system, the light parallelism is optimized, the collimated light sequentially passes through the light diffusion element to optimize the light field uniformity and the fly-eye lens to eliminate the non-uniform illumination, then is unified into a single linear polarization state by the polarized light converter, is shaped by the relay system and keeps the light beam transmission quality, and finally is transmitted to the light source. And polarization state separation and light combination are realized through the PBS prism, and finally, the light is accurately coupled to the LCOS display chip, so that high-efficiency polarization state matching and imaging quality optimization are completed. According to the HUD-PGU system, the illumination brightness of the whole system is improved, the color reducibility of the system is improved, the illumination uniformity of system imaging is improved, the light energy utilization rate of the system is improved, meanwhile, the size of the HUD-PGU is reduced, and the manufacturing cost is reduced.

The invention discloses a broadband high-isolation millimeter wave dual-circular polarization multi-beam antenna, which comprises a 3D printing medium polarization grating lens and a millimeter wave dual-linear polarization antenna array, and is characterized in that the millimeter wave dual-linear polarization antenna array is located on a horizontal focal plane of the 3D printing medium polarization grating lens. Wherein the millimeter wave dual-line polarized antenna array adopts a folded medium integrated waveguide structure for feeding, so that high isolation is realized. A planarized millimeter wave dual-line polarization antenna array is used as a feed source antenna, and dual-line polarization-dual circular polarization conversion is realized through a 3D printing medium polarization grating lens; and the horizontal and vertical components of the + / -45-degree dual-linear polarized waves are equal in amplitude after passing through the polarized grating lens, and the phase difference is 90 degrees, so that dual-circular polarized waves are formed. The feed source array and the lens are arranged in a spaced mode, high gain and + / -45-degree scanning coverage are achieved, the design problem of a traditional dual-circular-polarization feed source is avoided, the complexity and cost of the system are remarkably reduced, and the deployment feasibility of a 5G / 6G millimeter wave terminal is improved.

The invention relates to the technical field of optical image processing, and discloses a global perception and multi-branch heterogeneous attention polarization image fusion method and system, and the method comprises the following steps: obtaining polarization images of four angles, and obtaining a data set containing an intensity image and a linear polarization degree image according to a Stokes vector synthesis method; constructing a global perception and multi-branch heterogeneous polarization image fusion model, and performing training by using the data sets of the corresponding intensity image and the linear polarization degree image to obtain a polarization image fusion model; polarization image fusion is realized by using the polarization image fusion model; according to the invention, while polarization image fusion is accurately realized, perception of polarization features is significantly enhanced, and image details are effectively maintained; meanwhile, by improving the contrast ratio and the brightness of the image, the fused image is clearer and richer in details; in complex scene processing, object edge features and fine light reflection information can be better reserved, and the problem of detail loss in the prior art is effectively improved.

The invention relates to the technical field of image analysis, in particular to a steel tube tower assembly intelligent welding visual identification robot cooperative control system, which comprises a groove surface pollutant identification module, a groove surface pollutant identification module, a linear polarization component calculation module and a control module, meanwhile, the original light intensity image is converted into a CIELAB color space, an a channel value is extracted, the polarization degree value of each pixel point is fused with the corresponding a channel value, and a pollutant pixel mask is established. According to the method, in the image analysis process, the multi-angle polarization image is introduced and the color channel value is fused, so that precise recognition of a tiny pollution area is achieved, and the space sensing capacity of groove pollutants in a complex welding environment is enhanced; the space coordinates of the pollutant area and the welding seam edge are compared and screened point by point, the overlapped part of the pollutant area and the welding path is positioned, and the pertinence and accuracy of pollution interference identification are improved.

The invention discloses a hematemesis volume intelligent determination method based on image identification and data analysis, and relates to the technical field of artificial intelligence auxiliary diagnosis, and the method comprises the following steps: constructing a spattering phase and spectrum combined observation baseline through a blood spattering imaging sequence, analyzing a light spot transient track through a time-frequency phase-locked calibration mechanism, extracting high-frequency reflection characteristics, and determining the hematemesis volume according to the high-frequency reflection characteristics. Generating a light spot prior set for interference identification; according to the distribution characteristics of the light spot prior set, multi-angle linear polarization image sampling and multi-interval adaptive exposure adjustment are executed, a stable coupling characteristic stack of color characteristics and texture characteristics is constructed, and a unified spectrum reference is provided for track identification processing. By introducing phase-spectrum combined observation, multi-angle polarization sampling and a dynamic regulation and control mechanism, a steady-state feature stack and a track topological graph are constructed, light spot interference stripping and volume fitting stabilization are achieved, the accuracy, real-time performance and robustness of hematemesis volume recognition are improved, and the method has remarkable clinical application value.

The invention discloses an underwater target measurement method, system and device for salient region sparse matching in the technical field of underwater optical imaging and computer vision, and the method comprises the steps: calculating an intensity image and a linear polarization degree image based on a Stokes vector according to an obtained underwater binocular polarization image; according to the intensity image and the linear polarization degree image, performing image fusion by using a polarization image fusion network to obtain a fused image; according to the linear polarization degree image and the fusion image, performing target detection by using a saliency target detection network to obtain a target area mask; extracting feature points in the target area of the underwater binocular polarization image by using a SuperPoint network according to the target area mask, and generating a feature descriptor; according to the feature points and the feature descriptors, binocular image matching is carried out through a SuperGlue network, and matching point pairs are output; and calculating the distance from the target to the polarization binocular camera according to the matching point pairs and the parameters of the polarization binocular camera.

The invention discloses an image fusion method and device based on infrared polarization imaging, and relates to the technical field of image processing. The method comprises the following steps: acquiring infrared polarization image data of a target scene; based on a polarization bidirectional reflection distribution function, decomposing the image into three kinds of feature original element images including total radiation intensity, linear polarization degree and polarization angle; processing according to a preset task mode to obtain a feature primitive image; calculating the regional information abundance measurement of each feature primitive image and the regional complementarity measurement between every two feature primitive images; and generating a fusion weight map through a normalized exponential function, and outputting a fusion image after carrying out weighted fusion on the feature primitive image. Through physical feature decomposition, task targeted processing and quantitative measurement fusion, the problems of low richness and low accuracy of fused image information in a traditional method are solved.

According to the super-resolution polarized light acoustic imaging device and method, galvanometer scanning is achieved on the surface of a sample, excitation light is modulated in different linear polarization directions on each scanning point on the surface of the sample, and the intensity of photoacoustic signals generated by the sample under the excitation light in the different linear polarization directions is obtained through measurement; an initial photoacoustic image of a sample surface structure is constructed by utilizing photoacoustic signal intensities under exciting light in different linear polarization directions, and the initial photoacoustic image is subjected to phase-locked amplification and three-dimensional deconvolution processing, so that a super-resolution photoacoustic image in each linear polarization state is obtained. Compared with traditional polarized light acoustic imaging, the method has the advantages that the diffraction limit of traditional photoacoustic imaging can be overcome, super-resolution imaging of the surface structure of the sample can be achieved while unmarked imaging is achieved, and finer expression of the structure of the sample is achieved. The method has potential application prospects in the fields of biological imaging and biological tissue surface structure conformation detection.

The invention relates to the technical field of fringe projection three-dimensional reconstruction, in particular to a point cloud enhancement method and system based on polarization structure perception and trend guided recovery. The method comprises the following steps: acquiring a multi-angle polarization image, and generating an object area mask based on a polarization angle consistency mask, a polarization angle gradient mask and a linear polarization degree mask; obtaining an original phase diagram through four-step phase shift and complementary Gray codes, obtaining a missing region in an object according to hole distribution of the original phase diagram, and adding morphological structure indexes and local variance features to recognize a real self-shadow region; aiming at the identified real self-shadow area, establishing a structure guiding recovery model combining a first-order structure gradient guiding item and a second-order structure gradient guiding item to obtain a complete object point cloud; and separating a background and an invalid shadow in the object point cloud through the object area mask to obtain a point cloud which only retains the object area.

The invention discloses an atomic sensing laser collimation rounding method based on a function multiplexing metasurface. Through the metasurface phase regulation and control technology, a metasurface unit library meeting the collimation phase configuration requirement and circular polarization combined regulation and control is designed, and dual-function integration of collimation of emergent light of the atomic sensing laser and conversion from linear polarization to circular polarization is achieved. A highly circularly polarized collimated light beam is provided for atom system comprehensive polarization through a single-layer metasurface device. According to the technology, the size of a pumping light path in an atom sensing system can be remarkably reduced, the integration degree of a collimation circular polarization light path system is improved, and the technology is suitable for the optical regulation and control requirement of a miniaturized chip atom sensor.