1032 results about "Diffuse reflection" 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 discloses an intelligent steel pipe surface defect recognition system based on deep learning, and particularly relates to the technical field of pipe surface defect analysis. An annular polarization light source array and a high-frame-rate CMOS sensor are adopted to synchronously collect visible light and near-infrared multi-polarization images; a surface normal is calculated based on Stokes parameters, mirror surface suppression and diffuse reflection enhancement are realized, a defect candidate area is generated by fusing multi-scale Laplacian pyramid residual error and Renyi entropy segmentation threshold positioning, multi-physical quantity registration is completed through white light interference and infrared thermal imaging, a six-channel feature cube is constructed, and a three-dimensional image is obtained. According to the method, space, spectrum and thermal characteristics are jointly extracted in the multi-head attention convolutional neural network, the confidence coefficient is evaluated in combination with Jensen-Shannon divergence, and the polarization angle and the focal length are dynamically adjusted according to the confidence coefficient, so that closed-loop parameter self-optimization is realized, and the micro-scale pitting corrosion and millimeter-scale crack detection precision is remarkably improved.

The invention discloses a weak light image enhancement method fusing noise adaptive diffusion and illumination perception, and the method comprises the steps: firstly designing a reflection-illumination decomposition module RID based on a Retinex theory, and extracting a reflectivity component and an illumination component of an input weak light image; then designing an ADRD (adaptive diffusion reflection denoising) module, performing denoising enhancement on the reflectivity component, and outputting an enhanced reflectivity image; introducing a noise estimation network, and dynamically adjusting the de-noising amplitude of the diffusion model according to the noise intensity of the region in the reflectivity graph; designing an illumination perception enhancement module IEM, fusing an attention mechanism and a local enhancement block, enhancing the illumination image, and outputting an enhanced illumination component; and building a complete neural network framework, carrying out joint training on the provided module, finally testing the stored neural network model, and outputting an enhanced image. According to the method, the problems of detail loss, noise residue and uneven illumination of the enhanced image in the prior art are solved.

The invention relates to the technical field of image compensation, in particular to a reflection compensation method based on image processing, and provides the following scheme: acquiring an environment panoramic image by using a panoramic camera to establish a scene global coordinate system, and acquiring a multi-view original image in combination with a camera array arranged in the circumferential direction of an object; determining a rotation symmetry axis according to the multi-view contour features, reconstructing a three-dimensional geometric body, and calculating normal distribution and curvature change; generating a prediction image based on diffuse reflection and specular reflection hypothesis in the surface expansion domain through virtual visual angle disturbance, identifying a reflection region according to color and gradient consistency, and generating a reflection mask; and performing texture reconstruction on the reflective area by using geometric registration and multi-view compensation, and finally performing splicing and fusion to obtain a non-reflective high-fidelity panoramic image. The method does not need to change the field illumination condition, and can achieve the precise recognition and compensation of the complex curved surface reflection in the cultural relic in-situ collection environment.

The invention discloses a metal processing detection system and method based on computer vision, and relates to the technical field of defect detection.Rotatable polarization filters are installed in front of a lens of a vision sensor, the polarization filters are arranged at four angles respectively, and four sets of polarization images are collected; calculating the polarization degree of each pixel point on the surface during metal processing by using the gray values of the four groups of polarization images, setting a polarization region interval, and dividing a metal surface reflection region into a specular reflection region and a diffuse reflection region; acquiring images of different wavebands by using a multispectral vision sensor, and constructing a multispectral image set; for the same wave band, the images of different exposure times are synthesized to obtain an HDR high dynamic range image; setting a weight for the HDR image of each wave band, and combining the weighting of the HDR image and the suppression of the polarization degree to carry out multispectral image fusion so as to obtain a final image; and a gray threshold value and an area threshold value are respectively calculated through the average value and the standard deviation, and the metal processing defects are judged by using the two threshold values.

The invention provides a high-reflection plane metal part defect detection method and system based on a composite polarized light source, and a medium. The method comprises the following steps: illuminating a high-reflection plane metal part based on the composite polarized light source, adjusting a light source polarization angle and an LED wave band combination to construct a shooting environment, and collecting an image sequence; calculating a polarization intensity distribution parameter for the image sequence based on the relationship between the polarization intensity and the Stokes parameter to obtain a polarization intensity distribution image; analyzing the polarization intensity distribution image based on a polarized light reflection model, and outputting a specular reflection component and a diffuse reflection component; fitting the specular reflection component and separating the diffuse reflection component to obtain a reflection-removed image; based on an image enhancement algorithm, edge enhancement is carried out on the reflection-removed image to obtain an enhanced image, and based on a defect identification algorithm, the enhanced image is analyzed to obtain defect information; by removing the diffuse reflection component and reconstructing the image, the mirror interference is effectively stripped, and the defect identification precision is improved.

The invention relates to the technical field of machine vision and optical detection, in particular to a tea color automatic evaluation method and system based on machine vision. The method comprises the following steps: constructing a stable and repeatable optical measurement environment and calculating radiation baseline parameters; performing multi-band polarization sequence imaging on the tea sample to obtain original data with spectrum and structural characteristics; separating mirror surface and diffuse reflection components on the surfaces of the tea leaves, and performing spectrum consistency correction by combining a radiation baseline; performing multiband spectrum reconstruction and normalization processing on the basis of the corrected diffuse reflection image, mapping to a CIE Lab color space, extracting pixel-level brightness, chromaticity and color distribution statistical indexes, and generating a color feature vector in combination with spatial weighting matrix optimization; a final score is calculated by constructing a quantitative evaluation and grade judgment model and integrating perception color separation, drying calibration color separation and a penalty term, and a grade result is output. According to the method, objective, accurate and automatic evaluation of the color of the tea leaves is realized.

The invention relates to the technical field of laser transmission characteristic testing, in particular to a medium-wave infrared laser long-distance transmission attenuation characteristic external field testing method and device. The method is an indirect measurement method, a diffuse reflection plate is set up at a designated position of a transmission path, laser reaching the diffuse reflection plate is quantitatively measured through a detector, in combination with a bidirectional reflection distribution function of the diffuse reflection plate, the target reaching power of the laser transmitted through the long-distance atmosphere is obtained, and the target reaching power is calculated by comparing the target reaching power with the laser output power of a transmitting end. The laser long-distance transmission power attenuation characteristic can be obtained, and the problems that in current laser atmospheric transmission attenuation characteristic measurement, a laser radar does not have a medium-wave infrared measurement method, and the power of a specified position of a transmission path cannot be directly received and measured through a detector due to the fact that the size of a light spot is too large after long-distance transmission in direct measurement are solved. The measuring device is simple in structure and can support indirect measurement to obtain the long-distance transmission power attenuation characteristics of the medium-wave infrared laser.

The invention discloses an illumination adaptability rock crack identification and calibration method based on an image identification algorithm, and relates to the technical field of geotechnical engineering intelligent image identification, and the method comprises the following steps: collecting an illumination incident angle, a polarization state and an illumination gradient corresponding to an image frame, building an illumination time sequence observation layer, and obtaining an illumination time sequence observation layer; forming an illumination feature baseline for crack boundary tracking; and performing coherent phase decomposition on the image sequence based on the illumination feature baseline, stripping mirror reflection and enhancing diffuse reflection texture, and generating a crack drift suspicion image. Through construction of an illumination time sequence observation layer and coherent phase decomposition, illumination interference stripping in a crack image is realized, false drift is eliminated by combining anti-fact playback and time reconstruction, and a dynamic threshold control mechanism is constructed by introducing an anti-illumination mask and an anti-phase pattern and linking a polarized light diaphragm and a shading array. And high robustness of crack identification and closed-loop regulation and control of false early warning are realized.

The invention discloses a shield construction muck quantity real-time monitoring system and method based on three-dimensional laser scanning, and relates to the technical field of construction monitoring, the shield construction muck quantity real-time monitoring system comprises a hardware module, a software algorithm module and a system integration module, the software algorithm module comprises a point cloud data processing module, a volume calculation module, a data analysis module and an early warning module, the point cloud data processing module adopts a hierarchical noise filtering algorithm and performs point cloud completion based on a generative adversarial network, and the volume calculation module adopts a slice integration method. Through a hierarchical noise filtering algorithm and a generative adversarial network point cloud complementation technology, noise points generated by interference of dust, diffuse reflection and the like are effectively eliminated, sparse point clouds and large-area holes in a low-reflectivity area are repaired, a complete and high-precision muck pile three-dimensional surface model is reconstructed, a reliable data basis is provided for volume calculation, and the method is suitable for mass production. And the point cloud quality and the model integrity in a complex construction environment are remarkably improved.

The invention relates to the technical field of optical measurement, in particular to a complex reflective object surface reconstruction method and system based on multi-system point cloud fusion, and the method comprises the steps: carrying out the joint calibration of the spatial relation among a camera, a projector and an LCD screen; projecting to a target object based on a projection grating phase method and a phase deflection operation path, and collecting structured light patterns of the two through a camera; phase solving is carried out on the structured light pattern collected by the camera, and a three-dimensional reconstruction result is obtained in combination with the joint calibration information; and world coordinate system matching and point cloud fusion are carried out on the three-dimensional reconstruction result based on the joint calibration information, and the three-dimensional morphology of the target object is generated. According to the method, the problems that in diffuse reflection reconstruction, patterns projected by a projector cannot be comprehensively collected due to exposure and height and gradient ambiguity cannot be solved by a monocular phase deflection technology in high reflection can be solved complementarily, high reflection and diffuse reflection objects can be solved, a complete reconstructed object can be obtained, and the reconstruction precision is improved.

The invention is applicable to the technical field of concrete deformation measurement, and particularly relates to a non-contact concrete deformation testing system and method based on a laser ranging technology, and the system comprises a laser ranging unit which is provided with a double-frequency phase modulation laser, an optical transceiver antenna and a phase detection circuit; the environmental parameter acquisition unit comprises a temperature sensor, a humidity sensor and an air pressure sensor; and the data processing unit carries an atmospheric refractive index calculation module, a Kalman filtering algorithm and a three-level early warning module, and supports wired / wireless data transmission. The distance measurement precision is high, and the concrete micro-deformation monitoring requirement is met; non-contact characteristic: non-damage monitoring on the concrete surface is realized through a diffuse reflection target; intelligent data processing: structural deformation and environmental noise are effectively distinguished, and the early warning reliability is improved; automatic monitoring is achieved, and the manual inspection cost is greatly reduced.

The application discloses a scanning method of a scanning optical fiber displacement sensor and belongs to the technical field of optical fiber displacement sensors; S1: a scanning platform is established; S2: a scanning surface and the area of the scanning surface are determined; scanning light passes through a lens in a voice coil motor to output laser to irradiate on a to-be-scanned object; diffuse reflection occurs on the to-be-scanned object; after the scanning platform receives the reflected information light of the to-be-measured object, the voice coil motor is used to move the laser to a next position, and the scanning surface of the to-be-measured object is scanned; S3: in the scanning process, the displacement information d of the to-be-measured object is calculated and acquired by means of the reflected light power of the scanning surface and the light power emitted by the scanning platform. The present application improves the existing point type optical fiber displacement sensor into a scanning optical fiber displacement sensor, and the surface scanning is more accurate than single-point scanning, and the change of the object in the direction can be measured.

The invention belongs to the technical field of three-dimensional shape measurement, and discloses a three-dimensional measurement method for a non-Lambert metal surface, which comprises the following steps of: projecting polarization coding structured light on the non-Lambert metal surface, synchronously acquiring reflection images and ambient light noise data, and removing light noise from each reflection image to obtain a non-Lambert metal surface; extracting and calculating the light intensity value, the light polarization value and the light deflection angle of each pixel point in different polarization states, constructing a grayscale image to distinguish a high polarization point from a low polarization point, marking mirror reflection and diffuse reflection areas, resolving a phase field based on the processed reflection image, and correcting the phase jump; a continuous phase field and polarization reflectivity characteristics are combined to input a double-branch network model, the model is fused and optimized, a control point coordinate matrix and a weight matrix are output, an NURBS curved surface is constructed for defect detection, a high-precision three-dimensional surface shape is reconstructed, and the problems of reflection interference, dynamic efficiency and industrial adaptation in non-Lambert metal surface three-dimensional measurement are systematically solved. And a solution is provided for high-precision industrial detection.

The diffuse reflection uniform light-emitting car lamp optical system comprises a lamp body, a circuit board, a light source and an aluminized reflection bowl, the light source is arranged on the circuit board, the diffuse reflection car lamp optical system further comprises a diffuse reflection reflecting plate, and the aluminized reflection bowl comprises a first diffusion pattern face arranged corresponding to the light source and a second diffusion pattern face arranged corresponding to the diffuse reflection reflecting plate; light emitted by the light source irradiates the aluminized reflection bowl, is reflected and diffused through the first diffusion pattern surface, irradiates the second diffusion pattern surface for reflection and diffusion, and then irradiates the surface of the diffuse reflection reflector to be reflected. The diffuse reflection uniform light-emitting car lamp optical system is reasonable in design, a good lighting effect is achieved through mutual cooperation of the reflection bowl, the fogging inner cover and the diffuse reflection reflector, and the diffuse reflection uniform light-emitting car lamp optical system is novel in light-emitting form, uniform in light-emitting effect and rich in layering sense.

The invention provides a video manuscript abnormal data detection method and system based on artificial intelligence, and the method comprises the steps: obtaining a video manuscript which comprises a text instruction and a video frame; generating an enhanced semantic tag based on the text instruction and the video frame; the mirror reflection light component and the diffuse reflection light component in the video frame are separated by adjusting the lens polarization angle in real time, and an anti-interference image is generated; aligning the enhanced semantic tag and the anti-interference image in a shared semantic space, and calculating the feature similarity between the aligned enhanced semantic tag and the aligned anti-interference image; and determining a target anomaly score according to the feature similarity. According to the invention, the accuracy and robustness of video anomaly detection in a dynamic illumination scene are improved.

A method and system for eliminating 2D features from planar surfaces in 2D images. Three digital images are taken, from a single camera at a fixed position, of a subject such as a pallet of boxes. One image (IA) is taken with ambient lighting, one image (I1) has ambient lighting plus a first added light source, and one image (I2) has ambient lighting plus a second added light source. An output image Q is then computed by Q=(I1−IA) / (I2−IA). Subtracting the ambient image removes ambient diffuse and specular reflections. Division eliminates all variations in the output image caused by color. The only variations that remain are those due to the angle between each surface point's normal direction and the direction from the light to that point. The output image Q, devoid of all colors and 2D features, is well suited for computing a robot grasp of an object in the image.

The invention belongs to the technical field of robots, and particularly discloses a multi-mode dexterous hand fusing visual tactile sense and palmtop eye and application thereof.The multi-mode dexterous hand comprises a hand body, a visual tactile sensor, a palmtop eye module and a processor, the visual tactile sensor comprises a skeleton, an elastic body, RGB and an NIR camera, the skeleton is of a finger-shaped structure, and the skeleton and the hand body form a hand structure; the elastomer covers the outer side of the framework, and a diffuse reflection coating covers the surface of the elastomer; the RGB camera and the NIR camera are installed in the framework and used for obtaining an RGB image and an NIR image when the first object makes contact with the elastic body; the handheld eye module is installed in the middle of the hand body, comprises a second RGB camera and a TOF camera and is used for taking a second object RGB image and sparse depth; and the processor determines the first object surface three-dimensional point cloud and the second object depth map to realize pose alignment of the two. According to the invention, touch-vision-depth multi-mode perception can be realized, and the precision and robustness of the manipulator are improved.

The invention discloses a three-dimensional surface shape digital measurement-based cosmetic plastic auxiliary analysis method and system, and the method comprises the steps: obtaining a medical image data set, carrying out the noise processing through employing a Gaussian filtering algorithm, judging a noise point if the difference between a pixel gray value and a neighborhood mean value exceeds a preset threshold value, and carrying out the smoothing processing, and obtaining a first image data set; constructing an energy function according to the first image data set, and filling and repairing a defect region in the image through superposition calculation of a single-point energy item and an adjacent-point interaction energy item to obtain a second image data set; extracting point cloud data from the second image data set and constructing a gradient field, and if the point cloud density is lower than a preset threshold value, executing local encryption processing to generate a three-dimensional face model; grid vertex coordinates and normal vector information of the three-dimensional face model are obtained, and the environment light component, the diffuse reflection component and the mirror reflection component are fused through an illumination intensity calculation formula to generate a visual image, so that the precision and efficiency of medical image processing and three-dimensional visualization are improved.

The embodiment of the invention provides a real-time collection method and system for welding heat input, and the method comprises the steps: sensing the displacement movement of a welding gun or a welding wire through a diffuse reflection photoelectric switch array installed on the surface of a pipeline, and generating a corresponding pulse trigger signal; current data and voltage data of a welding loop are sensed through a Hall sensing system, and corresponding analog electric signals are generated; synchronously acquiring the pulse trigger signal and the analog electric signal through a multi-channel data acquisition device, and converting the analog electric signal into a digital signal with a timestamp; real-time welding speed data are calculated according to the time sequence of the pulse trigger signals and the preset space geometrical relation of the diffuse reflection optoelectronic switches; performing multi-stage filtering processing on the current data and the voltage data; a unified timestamp is determined, and time sequence matching is conducted on the filtered current data, the filtered voltage data and the filtered welding speed data based on the unified timestamp; and calculating to obtain a welding heat input value.

The invention discloses a solar photocatalytic reactor with a triple reflection condensation structure, and belongs to the technical field of solar energy utilization and photocatalysis. The reactor mainly comprises a stainless steel bracket, a triple reflection mirror group, a light capture reaction cavity and a transparent inner tube, the tertiary reflecting mirror group is composed of a primary parabolic reflecting mirror, a secondary plane reflecting mirror and a tertiary parabolic reflecting mirror, and is used for efficiently collecting and conducting incident sunlight in a large receiving angle range, and finally all the incident sunlight converges into the light capture reaction cavity. The inner wall of the reaction cavity is coated with a photocatalyst coating, and the unique optical structure of the photocatalyst coating enables incident light to be subjected to multiple diffuse reflection and not to escape until the incident light is fully absorbed by a catalyst, so that the effects of high illumination intensity, uniform distribution and high light energy utilization rate are achieved. Through optical structure innovation, under the condition that a high-precision sun tracking system is not needed, the technical problems that a traditional solar photocatalytic reactor is uneven in illumination, insufficient in light intensity and depends on tracking are effectively solved.

The invention discloses a medical endoscope with an extinction anti-pollution structure, and relates to the technical field of endoscopes, the medical endoscope comprises an endoscope main body, the front end of the endoscope main body is provided with a camera module, and the periphery of the camera module is provided with an illumination light source for illumination, an outer sleeve and an extinction structural member; a hollow observation opening is formed in the center of the endoscope body in a penetrating mode, a light blocking sinking table used for blocking front direct light beams emitted by the illumination light source is arranged outside the hollow observation opening in a surrounding mode, and a deflection bevel edge used for diffraction deflection of light rays emitted by the illumination light source is further arranged outside the light blocking sinking table. Through the synergistic effect of physical shielding of the light blocking sinking table and diffraction deflection of the deflection bevel edge, front-side direct stray light of the illumination light source is cut off from the source, side-emitting and oblique-emitting light rays are deflected in a targeted mode, light spot and light fog pollution caused by diffuse reflection of the front end of a transparent guide sheath or a catheter is remarkably eliminated, and the imaging definition is remarkably improved.

The invention relates to the technical field of computer vision, in particular to a three-dimensional reconstruction method and device based on optical polarization and stereoscopic vision principles. The three-dimensional reconstruction method sequentially comprises the steps of image preprocessing, polarization parameter extraction, binocular stereo matching, disparity map generation and optimization, normal vector correction, depth information fusion and three-dimensional point cloud reconstruction and modeling generation. A polarization normal vector field is constrained and corrected as a'skeleton ', and the azimuth angle pi ambiguity problem which puzzles polarization three-dimensional reconstruction for a long time is solved; high-frequency surface normal details contained in corrected polarization information are used as textures to enhance and fill up depth information loss of binocular vision in weak texture and repeated texture areas, the inherent limitation of a single sensing technology in a three-dimensional reconstruction task is overcome, and the three-dimensional reconstruction of the surface of an object, especially a diffuse reflection object, is realized. And high-precision and high-integrity three-dimensional shape recovery is realized.

The invention discloses a target for microwave radar and computer vision fusion displacement measurement, a calibration method and a system thereof, belongs to the technical field of structural displacement measurement, and solves the problem that a proper target is lacked when microwave radar and computer vision are used for measuring displacement at the same time. The target covers a transparent calibration plate on the open surface of the corner reflector, and a uniform light diffuse reflection plate is attached to the interior of the transparent calibration plate; and a light source is arranged on the corner reflector. The transparent calibration plate is provided with special mark points and common mark points, the special mark points are distributed on two intersecting straight lines, the intersection points are the special mark points, and the spacing distances among all the special mark points are different. According to the calibration method, the position of the special mark point is verified by utilizing cross ratio invariance and simple ratio invariance. The measurement system adopts the target and the calibration method. According to the invention, three-dimensional displacement testing based on microwave radar and computer vision fusion can be realized, and the three-dimensional displacement change condition of a space point can be accurately obtained, so that the vibration displacement of an engineering structure can be monitored and early warned.

The invention discloses a land environment shadow region optical feature recovery method and system, and the method comprises the steps: synchronously collecting a visible light image, a near infrared spectrum image and three-dimensional point cloud data of a target land region through a multi-mode sensor, and generating multi-source fusion data with a space-time alignment attribute; based on the multi-source fusion data, constructing an illumination transmission physical model of the scene, and separating a direct illumination attenuation component and an indirect illumination diffuse reflection component of a shadow region; performing compensation reconstruction on the direct illumination attenuation component by using a generative adversarial network, and generating an initial recovery image after shadow elimination; and outputting a final recovered image with global illumination consistency and local detail authenticity by adopting a cross-scale attention fusion mechanism. By using the embodiment of the invention, the real spectral attribute and rich spatial texture details of the ground feature can be maintained, and the visual consistency of the image and the reliability of subsequent quantitative application are improved.

The invention relates to a non-Lambert surface emissivity inversion method, belongs to the technical field of infrared optical measurement and radiation modeling, solves the technical problems of low precision and poor model stability of non-Lambert surface emissivity inversion, and comprises the following steps: measuring original radiation intensity of a non-Lambert surface of a to-be-tested material in different emergent directions; converting the original radiation intensity into directional reflectivity; on the basis of the generalized Lorentz function, diffuse reflection background items are superposed, and a physical prior model is constructed; physical constraint is carried out on the physical prior model parameters; the parameter residual network generates a parameter field, and the parameter field is input into the optimized physical prior model; and carrying out hemispherical integration, and converting the directional reflectivity into directional-hemispherical emissivity. The device and the method are used for infrared thermal imaging measurement, material radiation characteristic characterization and engineering detection in a complex environment.

The present invention relates to a light head with a light sensor, including a lamp holder, a reflector and a control circuit board. The reflector is installed inside a hollow structure, and is equipped with an installation port, a light-emitting port and an imaging hole. A light source is installed in the installation port and is electrically connected to the control circuit board. The imaging hole is equipped with a light sensor and an inner wall of the imaging hole forms a reflective surface. A diffusely reflected light enters through the imaging hole. A portion of the light is directly projected onto the light sensor, while another portion of the light is reflected off the reflective surface to the light sensor. The light sensor determines whether to adjust the brightness of the light source based on the light intensity.

The invention provides a multi-point displacement transmission-type laser monitoring system for a structure without stable observation points and a data processing method of the multi-point displacement transmission-type laser monitoring system. The system is mainly composed of a bidirectional laser transmission sensing unit, a laser transmitter and a synchronous control and data processing module. All the bidirectional laser transmission sensing units are arranged in a straight line, laser emitters are arranged at the two ends of each bidirectional laser transmission sensing unit, and emitted laser beams penetrate through all the bidirectional laser transmission sensing units. The bidirectional laser transmission sensing unit is internally provided with a semi-transparent / semi-reflective mirror window, a diffuse reflection target and a camera. The semi-transparent / semi-reflective mirror window reflects an incident laser beam to the diffuse reflection target to form a light spot, and the camera records and identifies the movement displacement of the light spot. In combination with the data processing method provided by the invention, accurate multi-point displacement monitoring of the to-be-measured structure can be realized under the condition of no stable observation point. The system is suitable for construction period deformation monitoring or engineering life cycle structure health monitoring of large civil engineering structures such as bridges, tunnels and high-rise buildings.

The invention relates to a method for calculating the degree of polarization of complex space debris, in particular to a method for calculating the degree of polarization of complex space debris based on a micro-facet pBRDF model, and solves the technical problem that an existing method for calculating the degree of polarization is poor in authenticity and accuracy. According to the complex space debris polarization degree calculation method based on the micro-facet pBRDF model provided by the invention, aiming at the characteristics of multi-shape and multi-material coupling of complex space debris, on the basis of the modeling thought of complex refractive index, specular reflection, diffuse reflection and volume scattering of different structural materials of the complex space debris; the albedo projection area is adopted as a reflection contribution coefficient calculated by the total light intensity of reflected light of the complex space debris, and a micro-surface element pBRDF model of different structures and different reflection contribution coefficients of the complex space debris is established, so that the model is closer to the multi-shape and multi-material characteristics of the real space debris; and the polarization degree of the complex space debris calculated based on the micro-facet pBRDF model is more accurate.