38 results about "Image calibration" patented technology

The application discloses a kind of simulation SAR image calibration and prototype enhancement's few-sample target identification method, first, the base class data set containing multiple categories real SAR image is constructed, and initial feature extraction model is pre-trained.In iteration, support set is extracted from labeled sample set, query set is extracted from unlabeled sample set, and the simulation SAR image corresponding to the target category of support set is obtained.For each category, initial real feature prototype is obtained based on support set sample and pre-training model, simulation SAR image is obtained based on simulation SAR image, and mixed enhanced feature prototype is constructed by screening.Then, the prediction probability is calculated by comparing query feature with mixed enhanced feature prototype, and the support set is merged after screening high-confidence samples to optimize the model.Repeat iteration until the stop condition is met, and the optimal SAR image recognition model is obtained to identify the target category of the real SAR image to be tested.The application can improve the target recognition performance in few-sample scene.

This invention relates to a fusion calibration method for 4D millimeter-wave radar and visible light camera suitable for environmental perception. It uses a triangular radar corner reflector to collect radar point cloud and camera image calibration data at different distances and angles. After preprocessing, 3D-2D corresponding data pairs are constructed, and a region-constrained optimization framework is built. Using a region matching loss function as the error metric, the radar-camera extrinsic parameters, camera intrinsic parameters, and distortion parameters are optimized in stages to obtain a static benchmark calibration parameter set. Temporal synchronous data of different types of environmental features are collected, and supervisory labels are generated through spatiotemporal alignment and frame-by-frame parameter correction to train the calibration network model. The model is deployed to a computing platform, and dynamic calibration parameters are output in real time for parameter updates. This invention significantly improves the accuracy and stability of calibration results, achieving the dual effects of reducing computational power and increasing efficiency while reducing noise and maintaining accuracy, and greatly enhancing the model's generalization ability in real-world complex road scenarios.

This invention relates to the field of image calibration technology, and more particularly to an image data stream calibration method, system, and device. The method involves controlling a camera system based on a drive control signal to obtain camera system operating information; acquiring an image data stream from the camera system operating information; performing differential operations on the image data stream according to a preset differential time constant to obtain the signal rate of change; analyzing the camera system operating information and the signal rate of change to determine the image display format; calibrating the image data stream according to a preset sharpness evaluation function and the image display format to obtain a calibrated image data stream; controlling the camera system through a drive control signal to solve power compatibility issues; accurately identifying the image display format by combining differential operations and camera system operating information; and specifically calibrating the image; optimizing image sharpness to suit precise medical imaging scenarios, providing reliable technical support for precise and efficient surgical procedures.

The application provides a CBCT imaging calibration method, belongs to the technical field of CBCT imaging mechanical calibration, and is applied to an imaging device, wherein the imaging device comprises a dental column and a jaw mounting plate arranged on the dental column, and the CBCT imaging calibration method comprises the following steps: controlling the dental column to move vertically and / or horizontally along a support, and locking the dental column to the support after the movement is completed; and / or controlling the jaw mounting plate to move horizontally along the top surface of the dental column and / or rotate vertically along the top of the dental column in a direction perpendicular to the horizontal movement direction of the aforementioned dental column, and locking the jaw mounting plate to the dental column after the movement is completed; in the application, the mechanism for adjusting the jaw and the lateral head clamp assembly is mostly adjusted through fasteners, so that the cost is low, the structure is simple, the on-site debugging of after-sales personnel can be facilitated, the rigid connection form is adopted, and the advantages of reliability and strong stability are achieved; compared with the traditional algorithm processing for image calibration, distortion of the image can be avoided.

To enable calibration of wide-angle cameras without the need for large charts. [Solution] An image processing apparatus comprising: an image processing unit 20a, 20b that acquires two images captured by two cameras 10a, 10b whose imaging areas partially overlap and performs processing including pixel shift correction on the images; a stereo parallax image generation unit 30 that generates a parallax image based on the overlapping imaging areas of the two images; a road surface cross-section shape estimation unit 50 that generates a first distance image including distance information to a three-dimensional object for the overlapping imaging areas based on the parallax image; and an image calibration unit 90 that acquires the distance to a three-dimensional object in the monocular viewing area captured in only one image using moving parallax obtained by movement and generates a second distance image, and generates calibration information for calibrating the amount of pixel shift correction based on the first distance image and the second distance image.

The application discloses an internet platform for vending machine management and control, and relates to the field of computer information technology, comprising a time anchoring module, a frame gap buffering module, a frame segment reconstruction module, an event triggering module, a rhythm stabilizing module and a linkage defense module: the time anchoring module establishes a time anchor between a camera device and a network, labels an independent time nail for each frame image, generates a continuous frame sequence timeline, and provides a time sequence reference for picture repair. The application maintains video time sequence continuity under network fluctuation environment, guarantees motion recognition integrity through time anchoring, frame gap buffering and slip repair, and realizes rapid recognition and physical intervention by combining high-sensitivity motion extraction and door lock lighting linkage, thereby significantly reducing recognition delay and false alarm and missing alarm rates, and improving vending machine safety prevention and control capability.

The application discloses a kind of unmanned aerial vehicle parking inspection photographing method, comprising the following steps: unmanned aerial vehicle gathers parking lot scene image, calibrates parking lot boundary line;Unmanned aerial vehicle flies along the parking lot boundary line, collects parking lot image and is associated with GPS track, analyzes and extracts parking lot position information;Unmanned aerial vehicle executes autonomous charging decision according to remaining power and parking space occupation state;After completing charging or emergency landing, unmanned aerial vehicle enters the target area of inspection, obtains several subareas and establishes the state record table of each subarea;After completing the task of inspection, unmanned aerial vehicle lands and charges, and according to the inspection result of each subarea, the state record table is updated, and the inspection report is generated and uploaded to the cloud.

Disclosed an image processing device capable of calibrating a wide-angle camera without using a large chart. The image processing device has: image processing units 20a and 20b that acquire two images captured by two cameras 10a and 10b having partially overlapping imaging regions and perform processing including correction of pixel shift in the images; a stereo parallax image generation unit 30 that generates a parallax image on the basis of the overlapping imaging regions of the two images; a road surface cross-sectional shape estimation unit 50 that generates a first distance image including distance information to three-dimensional objects for the overlapping imaging regions on the basis of the parallax image; and an image calibration unit 90 that generates the second distance image by acquiring the distance to three-dimensional objects in a monocular visual field captured only in one of the images using motion parallax obtained by movement, and generates calibration information for calibrating the amount of pixel shift correction on the basis of the first distance image and the second distance image.

This disclosure provides a video fusion method, specifically relating to the technical fields of autonomous driving and image processing. The specific implementation scheme is as follows: Image calibration coordinates and fused image coordinates from multiple fisheye cameras are acquired, along with multiple video streams captured by the fisheye cameras. The fused image coordinates are obtained by fusing all image calibration coordinates. The image calibration coordinates are encoded to obtain coordinate information encoding. Based on the fused image coordinates, weight parameters for the image pixels of each video stream are obtained. Based on the coordinate information encoding, image pixels from each video stream are selected. Based on the weight parameters and image pixels of each video stream, the fused image of all images from the corresponding video streams is calculated. This implementation improves the real-time performance of video fusion.

Embodiments of the present disclosure disclose an image positioning calibration method and device, electronic equipment and a computer readable medium. A specific implementation of the method comprises: obtaining a to-be-calibrated image and an uncalibrated object detection large model, wherein the target to-be-calibrated image is an image obtained by superimposing an anchor object image located at a target position information set on the to-be-calibrated image; determining an object position information set of the to-be-calibrated image; determining a positioning transformation matrix according to the object position information set and the target position information set; determining an image position information set according to the positioning transformation matrix; and performing image calibration in the to-be-calibrated image according to the image position information set to obtain a calibrated image. The implementation can simplify the calibration process in the to-be-calibrated image, reduce the waste of computing resource costs, improve calibration efficiency and shorten calibration time by superimposing an anchor object image on the to-be-calibrated image as a reference point for positioning calibration and transforming the object position information set output by the model.

The application belongs to the field of seismic signal detection and estimation, and is a seismic phase automatic identification method based on the combination of dense connection and U-shaped structure. One-dimensional microseismic signals are saved as an image, target objects in the picture are framed and calibrated according to image calibration information, a data set is obtained, a one-dimensional neural network model for seismic phase picking is designed and trained, the data set is trained, the one-dimensional neural network model is obtained, the seismic signal to be detected is input for intuitive testing, and the seismic occurrence time and position are obtained according to the obtained test results. Therefore, accurate identification and time estimation of seismic phases are realized, and accurate seismic event position and time are obtained.

The application is suitable for the field of image calibration technology, and provides a map calibration method and device based on canvas and terminal equipment, the method comprising: when receiving a partition calibration instruction, obtaining outer boundary information and a partition calibration type of a preset area, determining a pre-calibration visual image and a pre-calibration instant positioning image corresponding to the preset area, segmenting the pre-calibration visual image and the pre-calibration instant positioning image according to collected segmentation parameters, obtaining at least two pre-calibration visual partition images and pre-calibration instant positioning partition images, collecting calibration point parameters according to the partition calibration type and calibrating target partition image pairs to obtain calibrated visual partition images and instant positioning partition images. The application improves the precision of instant positioning images by performing partition calibration on visual images and instant positioning images on the basis of pre-calibration, thereby improving the control precision of controlling robots based on visual images.

This invention belongs to the field of paper manufacturing inspection technology, and relates to an online inspection system for post-processing of household paper based on AI vision. It includes an environment-deformation perception module, an imaging calibration module, a speed acquisition module, a threshold calculation module, a defect statistics module, a sensitivity calculation module, an AI vision inspection core module, and a production linkage module, with each module establishing a communication connection. The environment-deformation perception module collects temperature, humidity, and paper contour data and outputs normalized deviation and deformation. The imaging calibration module outputs imaging calibration coefficients based on multi-parameter quantization calculations. The threshold calculation module and the sensitivity calculation module, respectively, output dynamic detection thresholds and process detection sensitivity coefficients based on pre-set parameters. This invention improves the parameter matching and process coordination of post-processing inspection of household paper.

A multi-camera unit structure includes a first camera unit, a second camera unit, a third camera unit and a calibrated-image generation unit. The second camera unit is distant from the first camera unit with a first distance in a first direction. With taking the first camera unit as an imaging reference, the first and the second camera units obtain a first DOF image of a target object. The third camera unit is distant from the first camera unit with a second distance in a second direction. The first and second directions define an included angle. With taking the first camera unit as an imaging reference, the third and the first camera units obtain a second DOF image of the target object. The calibrated-image generation unit obtains a calibrated DOF image according to the first and the second DOF images.

This invention relates to the field of optical imaging testing, and more particularly to a camera field of view testing device and method. The method includes first acquiring a calibration image and a test image; calibrating the distortion parameters of the vehicle-mounted camera using the calibration image; and using these distortion parameters to correct the distortion of the subsequent test image used for field of view calculation, resulting in a distortion-free test image. On the distortion-free test image, the full field of view of the camera under test is calculated based on angle markings with known angle values. This invention innovatively employs a calibration-correction-calculation approach to test the camera's field of view, fundamentally eliminating the influence of distortion factors on the measurement results, achieving a breakthrough in technical principles, and thus improving the accuracy of field of view testing.

The present application relates to the field of wafer inspection, and discloses a microporous ceramic chuck. The microporous ceramic chuck is circular, a plurality of ceramic annular platforms of different diameters are distributed on a chuck surface, and said ceramic annular platforms are arranged concentrically with the circular chuck surface; a vacuum annular groove is formed between adjacent ceramic annular platforms, and vacuum suction holes are formed in the vacuum annular groove; linear micropores each consisting of a plurality of circular micropores are formed on different ceramic annular platforms, and the micropore centers of the linear micropores are collinear; the micropores centers located on different ceramic annular platforms are collinear with the center of the chuck surface; and each ceramic annular platform is provided with at least two groups of linear micropore arrays in different directions and collinear with the center of the chuck surface. Using circular micropores instead of scribing or slotting methods can avoid the problem of uneven line width affecting image calibration accuracy at high‑precision pixel levels. Using a straight line simulated by a line connecting the centers can further improve the accuracy; combined with high‑contrast particle filling and non‑linear hole patterns, the image size at the algorithm / software level is minimized, and multi‑particle recognition allows for more precise straight‑line determination.

An image calibration method is applied to an image calibration device includes an image receiver and an operation processor. The image calibration method of providing a motion deblur function includes driving a first camera to capture a first image having a first exposure time, driving a second camera disposed adjacent to the first camera to capture a second image having a second exposure time different from and at least partly overlapped with the first exposure time, and fusing a first feature of the first image and a second feature of the second image to generate a fusion image.

The application provides a kind of based on image registration's underground garage ROI monitoring area dynamic calibration method and system, method includes: step S1: the monitoring picture of the camera obtained is regarded as reference image, and ROI region is demarcated;Step S2: the feature points of current picture and reference image are extracted and matched, and conversion matrix is calculated based on the feature point pair of successful matching;Step S3: the ROI region of reference image is mapped to current picture based on the conversion matrix to complete the dynamic calibration of ROI region.The application calculates the transformation relationship of current picture and reference picture in real time by image matching technology, realizes the automatic correction of ROI region, improves the accuracy and robustness of monitoring system, reduces the demand of artificial maintenance, solves the problem of monitoring area inaccuracy caused by the position change of underground garage entrance camera.

The application provides a frost detection method, device, equipment and storage medium. The frost detection method comprises the following steps: in response to a frost detection request for a target evaporator, driving an image acquisition module to acquire an image of the target evaporator to obtain a target detection image of the target evaporator; identifying frost of the target evaporator according to the target detection image and an image calibration ratio to obtain a frost detection parameter, wherein the image calibration ratio is a conversion ratio obtained by calibrating a target calibration plate provided in a chamber of the target evaporator with known calibration size data; and when the frost detection parameter meets a target defrosting condition, defrosting treatment is performed on the target evaporator. The method directly obtains a frost detection parameter representing a frost state in multiple dimensions during operation of the target evaporator, improves the frost evaluation accuracy in the frost measurement process, effectively reduces the frost measurement cost, and provides reliable data support for defrosting control of the refrigeration equipment.

A multi-camera unit structure includes a first camera unit, a second camera unit, a third camera unit and a calibrated-image generation unit. The second camera unit is distant from the first camera unit with a first distance in a first direction. With taking the first camera unit as an imaging reference, the first and the second camera units obtain a first DOF image of a target object. The third camera unit is distant from the first camera unit with a second distance in a second direction. The first and second directions define an included angle. With taking the first camera unit as an imaging reference, the third and the first camera units obtain a second DOF image of the target object. The calibrated-image generation unit obtains a calibrated DOF image according to the first and the second DOF images.

The present application relates to the technical field of computer vision, solid waste incineration process monitoring and industrial intelligent control, and provides a solid waste incineration working condition recognition method and system based on mixed convolution and physical constraints, which comprises: deploying a hearth camera to collect original images, and calibrating to determine the mapping of pixel rows and hearth physical height; preprocessing the original images and dividing pixel bands according to the hearth physical structure to obtain input tensors; using CNN network and ViT network to respectively extract multi-scale feature maps and global feature sequences of the input tensors; taking the divided pixel bands as a priori to guide bidirectional cross attention, fuse the multi-scale feature maps and the global feature sequences, and obtain a fusion feature vector; introducing a physical constraint regularization conforming to the combustion law of solid waste incineration in the training stage; constructing a joint loss function of the model, and outputting the recognition result of the solid waste incineration working condition. Through the method, the accuracy and robustness of solid waste incineration working condition detection are improved.

The application provides a kind of dual-energy spectrum image calibration method, the method comprises: obtaining the multiple strip data of each detection unit in the detector of security inspection machine for the article to be inspected, each strip data includes the position of corresponding detection unit and the initial high-low energy data collected by detection unit;For each strip data, find the target area to which the position in the strip data belongs from the pre-set calibration coefficient table, and find the target high-low energy data distribution curve corresponding to the initial high-low energy data in the strip data from the multiple candidate high-low energy data distribution curves in the target area, and determine the calibration coefficient corresponding to the target high-low energy data distribution curve as the target calibration coefficient;Based on the target calibration coefficient, the initial high-low energy data is calibrated to obtain the calibrated high-low energy data;Based on each calibrated high-low energy data, the calibration image of the article to be inspected is determined.

The present application relates to the technical field of digital image processing, and particularly relates to a continuous panoramic image calibration method and system, computer equipment and medium; the method comprises the following steps: acquiring a first panoramic image and a second panoramic image photographed at different spatial positions; performing feature point extraction and matching on the first panoramic image and the second panoramic image to obtain a plurality of feature point matching pairs; converting image coordinates in the feature point matching pairs into corresponding three-dimensional spherical coordinates; calculating a three-dimensional rotation matrix based on the three-dimensional spherical coordinates; obtaining an optimized rotation matrix through multiple random sampling and inlier screening, and projecting the second panoramic image onto a spherical surface according to the optimized rotation matrix to perform a rotation transformation process on the second panoramic image, so that the shooting direction of the second panoramic image is consistent with that of the first panoramic image. In this way, automatic calibration can be completed only by relying on the image features of two panoramic images, and the accuracy and environmental adaptability of panoramic image direction calibration are improved.

The application relates to a spectral response image calibration method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: collecting data of a spectral response image according to a preset sampling strategy to obtain a spectral response data set; determining initial spectral response data corresponding to each coordinate interval according to the spectral response data set and a preset coordinate interval length; in the case that the initial spectral response intensity in the initial spectral response data meets a preset intensity condition, obtaining target spectral response data, and determining whether the number of the target spectral response data meets a preset number condition; if not, returning to the step of collecting data according to the preset sampling strategy until the number of the target spectral response data meets the preset number condition; and determining the corresponding relationship between the spectral response image coordinates and the wavelength of the preset spectrum according to the target spectral response data and preset spectral data. The method can improve the calibration efficiency of the spectral response image.

Disclosed is a camera calibration method that eliminates the need to acquire pattern images from multiple viewpoints in order to acquire optical parameters of a camera, and that improves robustness with respect to imaging position deviation. The disclosed calibration method includes: acquiring pattern images obtained by using cameras 10, 12, 14 to image calibration boards 30, 32 comprising two pattern boards disposed spaced apart from each other; acquiring principal point coordinates indicating the position of a lens optical axis on an imaging element on the basis of patterns displayed on the two pattern boards captured in the pattern images; and using the principal point coordinates and relative positional relationships between the cameras 10, 12, 14 and the calibration boards 30, 32 to acquire optical parameters including the focal length and not including the principal point coordinates, on the basis of the pattern images.

The application discloses an image calibration method, device and equipment and a storage medium. The method comprises the following steps: acquiring a boundary fitting straight line of each image region to be processed; determining a stripe angle based on the slope and length of each boundary fitting straight line; and determining a stripe direction based on the change direction of the grayscale value on both sides of each boundary fitting straight line. The boundary fitting straight line of each image region to be processed is acquired, so that the image noise and discrete points can be eliminated to disturb the boundary, and a regular and accurate boundary reference is obtained. The stripe angle is determined based on the slope and length of each boundary fitting straight line, so that the stripe feature can be accurately calculated based on the direction and effectiveness of the straight line, and the reliability of the angle calculation is ensured. The stripe direction is determined based on the change direction of the grayscale value on both sides of each boundary fitting straight line, so that the target direction can be accurately locked based on the grayscale change rule, accurate direction parameters are provided for image calibration, and the image calibration accuracy and reliability are improved.