86 results about "Image motion" patented technology

The invention discloses a power line fog penetration monitoring method, system and device based on polarization-infrared multi-mode fusion and a medium. An atomic clock is tamed to trigger infrared pulse and polarization exposure, and pixel offset caused by jitter of an unmanned aerial vehicle is compensated through an image motion analysis method; constructing a polarization physical model, and establishing a relationship between the fogdrop particle size and the polarization degree; performing multi-modal feature fusion, constructing a double-branch deep learning network, and performing output judgment on the image according to a dynamic fusion strategy; and optimizing conductor features and insulator features in the power line through a special convolution kernel, and accurately extracting target features.

The invention discloses a dynamic image motion correction method based on a graph neural network, and the method comprises the following steps: a), constructing a target region trajectory tracking model based on the graph neural network, and achieving the high-precision motion trajectory modeling; b) analyzing an image displacement mode in real time through a dynamic discrimination algorithm; and c) realizing adaptive image motion correction based on the target area track features. According to the method, the problem of complex motion trail modeling limitation caused by dependence on fixed template matching in a traditional method is innovatively solved, and the problem of spatial-temporal characteristic aliasing caused by unsteady state deformation of nervous tissues is effectively solved. According to the technical scheme, the dependence on a hardware synchronization signal acquisition module is eliminated, the resource configuration requirement of the edge computing equipment is remarkably reduced, and meanwhile, the multi-scale time sequence integration efficiency is improved. According to the method, dynamic imaging reconstruction of subcellular neural activities can be realized, and dynamic change details in a target neuron issuing process can be accurately restored.

The invention discloses an optical satellite drift angle accurate calculation and attitude correction method and system, and relates to the technical field of satellite attitude control, and the method comprises the steps: calculating a prime unitary circle curvature radius according to a WGS84 ellipsoid parameter, and converting the geodetic coordinate of a ground target point into an ECEF rectangular coordinate; calculating Julian days based on UTC time, determining an age difference angle and a nutation angle, and converting an ECEF coordinate into a J2000 coordinate; calculating the projection of the earth rotation angular velocity in a J2000 coordinate system, and determining a relative velocity vector; determining an orthogonalized body coordinate system in combination with a unit vector from the target satellite to the ground target point; and projecting the relative velocity vector to a body coordinate system, calculating a drift angle and a double-rotation-sequence Euler angle, and correcting a real-time execution attitude by rotating a matrix around a Z axis. According to the method, high-precision image motion compensation can be realized, the imaging quality of a high-resolution optical satellite in a complex task scene is improved, and a technical foundation is laid for wide application of sub-meter remote sensing images.

This invention discloses a license plate recognition method and system for a parking lot patrol robot based on dynamic visual compensation, belonging to the field of data processing technology. The method includes: predicting the transient stationary point of chassis vibration based on motion posture data sequence to trigger license plate image acquisition; calculating motion blur vectors by combining angular velocity data and imaging intrinsic parameters to generate a spatial variation degradation kernel; using this kernel to perform non-uniform deblurring on the license plate candidate region, extracting and fusing the restored texture features and original topological features, and outputting the license plate recognition result and confidence level; calculating visual degradation parameters based on the blur vector length and confidence level, triggering deceleration and initiating hysteresis hold-up period control when the parameter exceeds a threshold. This invention solves the technical problems of non-uniform image motion blur caused by vibration and rotation in dynamic inspection and frequent control oscillations caused by single feedback, effectively improving the accuracy and operational stability of the robot's license plate recognition.

The invention relates to the technical field of video image processing, in particular to a fire source point rapid positioning device and method for a long and narrow tunnel, and solves the technical problem that accurate positioning of a fire source point is difficult to realize in the prior art. The device comprises an image acquisition unit used for acquiring tunnel video data in a long and narrow tunnel; the tunnel video data comprises tunnel images collected according to a time sequence; the fire source identification unit is used for carrying out image motion feature and image texture feature analysis based on the tunnel image and identifying fire source pixel points from the tunnel image; the fire source pixel points are corresponding pixel points of the fire source points in the long and narrow tunnel in the tunnel image; and the positioning unit is used for carrying out space coordinate conversion based on the identified fire source pixel points to obtain three-dimensional coordinates of the fire source points corresponding to the fire source pixel points.

The invention relates to a rapid scanning type laser active detection system based on laser angle on-line control, and the system comprises an adjustable beam expanding optical unit which can continuously adjust the beam expanding multiplying power on line through position closed-loop control; the scanning detection execution unit can perform large-range search and can compensate image motion caused by carrier motion and continuous scanning, and a variable-speed spiral scanning mode with high probability of finding a target is adopted as a scanning mode; the off-axis beam expanding unit is used for further compressing a laser divergence angle; the photoelectric imaging system can splice scanned images on line, so that the scanning process is clearer and more visual; and the time sequence control unit assists in image motion compensation control. The scanning process can be rapidly completed, imaging is clear in the scanning process, and the scanning result can be directly presented.

The application discloses a two-axis two-frame roll-pitch configuration photoelectric detection equipment control system and method, and belongs to the field of photoelectric detection equipment. The system comprises a power supply, an image controller, a servo controller, an outer frame, an outer frame roll motor, a first code disc, an outer frame slip ring, an inner frame, an inner frame pitch motor, a second code disc, a first gyroscope, a second gyroscope and a camera. An angle instruction is sent from a display control console to the servo controller and the image controller. The servo controller performs angle conversion, position loop control, roll rotation direction judgment and speed loop control, and outputs a signal to drive the motor. The code disc measures real-time angle information of the motor and sends the information to the servo controller. The gyroscope measures real-time angular velocity information of the camera and sends the information to the servo controller. The image controller receives a roll angle to perform electronic image stabilization, outputs an image to the display control console, and sends an image deviation to the servo controller when tracking a target. The image motion direction is consistent with the azimuth and pitch direction in the base coordinate system, and the human-computer interaction comfort is improved.

The invention discloses an RFID multi-label image motion deblurring method in a dynamic scene. The method comprises the following steps: 1, acquiring an RFID multi-label image in the dynamic scene and preprocessing the RFID multi-label image; 2, decomposing into a plurality of frequency band sub-bands through two-dimensional discrete wavelet transform, and calibrating structural consistency and suppressing noise through a structural consistency module; 3, extracting multi-level features by using an encoder containing an LPFBlock multi-layer structure, and integrating cross-scale features through a feature fusion block to obtain multi-scale deep coding features; 4, after coding features are weighted and enhanced by an RSAM residual space attention module, up-sampling and texture reconstruction are performed by a decoder, high-frequency details are recovered in combination with jump connection, and reconstructed sub-bands are output; and 5, performing inverse wavelet transform on the reconstructed sub-band, and outputting a clear RFID tag image. According to the method, through wavelet transform decomposition, multi-scale feature coding and attention enhancement mechanisms, detail features of the motion blur RFID tag image can be efficiently recovered, and the image quality is remarkably improved.

The present application relates to the field of optical remote sensing, and more particularly to a space camera off-track image motion test and compensation ground test device and test method thereof, the method comprising: fixing a TDICMOS camera on a three-dimensional turntable and pointing its optical axis to a drum target; determining a push-scan direction image motion speed according to the line frequency and pixel size of the TDICMOS camera; determining an image motion speed perpendicular to the push-scan direction based on a preset angle between the push-scan direction image motion speed and the push-scan direction of the detector; using the object-image relationship to inverse the target motion speed of the drum target; controlling the rotation of the drum target and driving the three-dimensional turntable to perform a pitch compensation motion to eliminate image motion mismatch; and acquiring off-track scanning images in a dynamic process. The present application uses a drum rotation to simulate the motion of a target, is not limited by the refresh frequency of a display screen, can effectively match the test requirements of a high line frequency TDICMOS camera, and realizes ground verification of the off-track scanning image motion compensation effect.

The invention discloses an image motion compensation method based on a grooved cam, and the method comprises the steps: firstly, determining the target angular velocity of a plane mirror based on the input angular velocity, carrying out the interval division of a compensation period, setting an extension path, a far stop, a return path and a near stop, and carrying out the image motion compensation of an imaging system during the exposure integration period, an equal-acceleration section, a constant-speed section and an equal-deceleration section are arranged in the extending stroke section; then, obtaining a matching relation between the exposure integral time of the camera and a constant-speed extending stroke section according to different internal and external trigger modes; secondly, constructing a lift function to determine a cam profile, generating a cam theoretical pitch curve, and performing normal equidistant correction to obtain an actual groove profile; and finally, obtaining a direct mapping relation between the rotating speed of the plane mirror and the rotating speed of the groove cam through a mechanism motion transmission relation, so that a visual axis which is output in an exposure period and is opposite to an image motion direction is slightly deflected to restrain the image motion. The method is high in real-time performance, does not need complex control, and is good in compensation synchronism and repeatability.

This specification discloses a method and system for correcting scanned data. The method includes: acquiring multiple motion vector fields corresponding to multiple motion time points of a target object based on reference time points; acquiring image motion deviations corresponding to each motion time point based on the motion vector fields corresponding to each motion time point and the motion reconstruction images corresponding to each motion time point; acquiring raw data deviations corresponding to each motion time point based on each image motion deviation; and correcting the scanned data based on the raw data deviations corresponding to at least one of the motion time points to obtain corrected data.

The present application relates to the technical field of artificial intelligence, and more particularly to an AI interaction system for ornithological scientific research, which comprises a collection unit, a trigger determination unit, a path determination unit, a dominant determination unit, a prompt generation unit and an adjustment unit. The present application constructs a multi-level behavior determination process through joint analysis of bird song spectrum, image motion characteristics, flight trajectory and environmental factors, and through statistical analysis of the time distribution and spatial distribution of these behavior indicators within a preset period, and correlation analysis with environmental factors such as temperature, humidity, wind speed and illumination, the influence of environmental changes on bird activity frequency and spatial aggregation degree can be identified, so that the acoustic trigger threshold can be dynamically adjusted, so that the system can continuously maintain the sensitive recognition ability of bird activity with the change of the habitat environment, and then realize high-reliable behavior recognition and interaction prompt for ornithological scientific research.

The application relates to the technical field of image acquisition and processing, in particular to a skin fine texture acquisition method and system, wherein four light sources L1 to L4 are uniformly and sequentially arranged around the center line of a camera lens, each light source has at least three channels C1 to C3 and emits light rays to the same skin area to be acquired; a positive direction image and a negative direction image are acquired; images in the same coordinate axis direction are subjected to difference value operation to obtain gradient images in three directions; the gradient image gray values in the three directions are normalized to obtain normal line values in three channels; the normal line values in the three channels are converted to be respectively loaded into a normal line map three channel and output the normal line map; the positive direction image light source lighting mode comprises L1 and L2 lighting C1 and C2, the negative direction image light source lighting mode comprises L3 and L4 lighting C1 and C2, and C3 of the four light sources is all lighted in the positive direction image or the negative direction image, so that the image motion blur probability is reduced.

The application provides a large attitude angle dynamic push-broom line frequency calculation and matching method of a spaceborne TDI detector, and is used for solving the technical problems that the existing image motion velocity vector calculation model does not consider the actual ellipsoid earth shape, calculation errors are introduced in the satellite attitude transformation process, or the actual ellipsoid earth shape is considered, but a large number of matrices, differentials and partial derivatives make the calculation result complex, the calculation speed is slow, and the calculation amount is large. The large attitude angle dynamic push-broom line frequency calculation and matching method of the spaceborne TDI detector considers the ellipsoid earth model and satellite attitude change and the like, combines the vector relationship method and the coordinate transformation method, can accurately calculate the object distance and the downward angle corresponding to each detector center point in the dynamic push-broom process of the camera, and further obtains the image motion velocity on the image plane corresponding to each detector center point; so as to calculate the image motion velocity, the line frequency and the deflection angle corresponding to each detector center point, and complete the line frequency matching.

The present invention is developed in view of the problems of the prior art, and one of the purposes thereof is to provide a flame detection device capable of reducing erroneous determination of flame detection. This flame detection device (1) is a flame detection device for an iron-making-related facility, and is provided with: an image acquisition unit (10) that acquires an image of a region to be detected; a partial image detection unit (32) that detects a partial image having a predetermined feature from within a frame of the acquired image; a motion vector detection unit (33) that detects a motion vector of a partial video between frames of the video; and a flame state determination unit (36) that determines the state of the flame in the region to be detected using the detected motion vector.

The application relates to a method and device for correcting image motion artifacts, an electronic device and a storage medium, wherein the method for correcting image motion artifacts comprises the following steps: acquiring an initial image to be processed, wherein the initial image is generated based on initial raw data; performing threshold segmentation processing on the initial image to generate a plurality of isosurface parts, and the plurality of isosurface parts constitute a first image; generating first raw data based on the first image, and generating second raw data based on the first raw data and the initial raw data; and generating a second image based on the second raw data, wherein the second image is an image after motion artifact correction. Through the application, the problem that image motion artifacts cannot be safely and stably corrected in the related art is solved, and the technical effect of safely and stably correcting image motion artifacts is achieved.

The invention discloses a method and device for achieving screen projection control based on a WIFI-Display protocol, and relates to the technical field of wireless communication and multimedia transmission, and the method comprises the steps: firstly, building a WIFI-Display connection session between a source device and a receiving end; secondly, a dynamic updating area of the screen is intelligently captured by monitoring a graphic buffer area and using a difference block detection algorithm, and an original screen data stream is only generated for a changing area so as to improve the efficiency; then, dynamically generating coding control parameters by analyzing image motion complexity and real-time network state parameters; and finally, carrying out real-time coding and adaptive network packaging on the data stream based on the parameter to form a screen projection data stream, and sending the screen projection data stream to a receiving end. Through the above mode, the method effectively reduces the bandwidth consumption and the coding calculation amount, and remarkably improves the transmission fluency and the image quality stability of the dynamic screen content in a complex network environment through the adaptive code rate and the packaging strategy.

A vehicular vision system includes a camera that captures image data. The vehicular vision system, responsive to processing by an image processor of image data captured by the camera, detects a plurality of objects present within the field of view of the camera. The vehicular vision system, responsive to detecting the objects, generates a plurality of intra-hypotheses. The vehicular vision system, responsive to generating the plurality of intra-hypotheses, generates a plurality of inter-hypothesis, with each inter-hypothesis (i) based on at least one of the intra-hypotheses and (ii) representing a respective detected object different from each other inter-hypothesis. The vehicular vision system, responsive to generating the plurality of inter-hypothesis tracks the detected object. The vehicular vision system, responsive to tracking the object, controls a driver assistance system of the vehicle.

The invention relates to the technical field of image motion analysis, in particular to an air target model construction method for an infrared scene target simulation system. The method comprises the following steps: firstly, acquiring a sequence image of infrared scene simulation; obtaining a heating area in each frame of image through threshold segmentation; further acquiring a matching coefficient of the heating area between the adjacent frames of images according to geometric similar features and gray similar features of the heating area in the adjacent frames of images; matching the heating areas between the adjacent frames of images based on the matching coefficient, and positioning a heating source in the image; further obtaining the unmanned aerial vehicle possibility of each heating source according to the gray level change feature of each heating source in the sequence image in combination with the overall feature of the matching coefficient; according to the similar features of the motion trails of the heating sources in the sequence image, obtaining the trajectory fixing coefficient of each heating source; and finally, obtaining the unmanned aerial vehicle heat source according to the unmanned aerial vehicle possibility and the track fixing coefficient of each heat source.

The application provides a single-frame image motion deblurring method and device based on direction perception and diffusion refinement, wherein the method comprises the following steps: acquiring a single-frame blurred image, and estimating spatial motion blur parameters of the single-frame blurred image to obtain a blur direction, a blur length and a corresponding confidence degree of each pixel in the single-frame blurred image; performing direction regularization deconvolution on the single-frame blurred image based on the blur direction, the blur length and the confidence degree to obtain a coarse restoration image; inputting the coarse restoration image and the blur direction and the blur length into a pre-trained conditional latent space diffusion model to perform refinement processing to obtain a refined restoration image; and performing frequency domain angular consistency constraint on the refined restoration image to output a final restoration image. Through the estimation of the spatial motion blur parameters, the combination of the direction regularization deconvolution and the conditional diffusion refinement, and the introduction of the frequency domain angular constraint, the directionality artifacts are effectively inhibited, and the restoration quality is improved.

A stereoscopic image scanning device comprises a linear scanning optical module, a planar scanning optical module, an image acquisition module, a motion platform and a control module. The linear scanning light module is used for projecting linear light to an object to be measured along an incident angle. The plane scanning light module is used for projecting plane light to an object to be measured along the same incident angle. The image capturing module is used for capturing the linear light or the planar light reflected by the object to be measured so as to obtain a first linear image or a planar image. The motion platform is used for controlling relative movement among the object to be detected, the linear scanning light module, the plane scanning light module and the image acquisition module so as to scan the object to be detected along a scanning direction.

The invention relates to a roller shutter image motion compensation method and system based on XR positioning, belongs to the technical field of image processing, and solves the problems of incomplete roller shutter image motion compensation and low calculation efficiency in the prior art. Comprising the following steps: acquiring binocular roller shutter images and equipment poses which are acquired in real time, and caching the equipment poses into a positioning data queue; based on the positioning data queue, obtaining a row partitioning strategy of each frame of binocular roller shutter image, further dividing each roller shutter image into a plurality of row partitions, and calculating an exposure moment of each row partition and a relative pose of each row partition relative to the reference row partition; on the basis of calibration parameters and a distortion model of the XR equipment, distortion removal processing, motion compensation based on the relative pose of each row block and distortion re-application processing are sequentially carried out on each row block; and combining all the processed row blocks according to the sequence of the row blocks in the roller shutter image to generate a binocular roller shutter image after motion compensation. The motion compensation effect and the calculation efficiency are improved.

The utility model discloses a multifunctional platform based on two-dimensional image motion control, which comprises a machine frame, a platform arranged on the machine frame, a Y-direction motion module arranged on the platform, a bearing module arranged on the Y-direction motion module and used for bearing articles, a portal frame arranged on the machine frame and used for bearing the articles, and an image processing module arranged on the portal frame. An X-direction movement module is slidably arranged on the portal frame in the X direction, a Z-direction movement module is movably arranged on the X-direction movement module in the Z direction, and a detection module, a material fixing module and an illumination module are detachably arranged on the Z-direction movement module. According to the multifunctional platform, multiple functions of visual inspection, article carrying, positioning assembly and the like can be integrated on one platform at the same time, the detection module, the material fixing module and the illumination module are modularly designed, and the platform can easily switch different working modes; rapid and accurate feature recognition and continuous tracking of a moving object can be realized, the measurement precision is improved, and the multifunctional workability of the platform is enriched.

The RGB image acquisition unit (30) acquires an RGB image of the object. The ranging image acquisition unit (32) acquires a ranging image of the object along the same optical axis. The RGB image motion detection unit (40) detects movement in the RGB image for each pixel by taking the difference between the current frame and the previous frame. The ranging image motion detection unit (42) detects movement in the ranging image for each pixel by taking the difference between the current frame and the previous frame. The interference determination unit (50) determines whether there is infrared interference during the acquisition of the ranging image for each pixel based on whether there is movement in the RGB image and whether there is movement in the ranging image.

The application provides a high-precision generalized dynamic image motion compensation method, device, equipment and storage medium, six homogeneous coordinate transformation matrices between a geographic coordinate system and an image plane coordinate system are sequentially multiplied to form a total transformation matrix, and a multi-stage series kinematics mapping of a ground point to an image plane point is completely expressed in a single mathematical framework. A homogeneous position vector of the image plane point obtained by the total transformation matrix is directly derived with respect to time, so that each motion source and its cross-coupling effect are naturally included in an image motion velocity vector expression in an analytical form, and a truncation error caused by component separation and superposition is avoided. Accurate image motion velocity vector values are obtained by substituting real-time parameters into the expression, and then a deflection angle correction amount and a TDI charge transfer matching rate are solved to perform compensation.

Systems, methods, and computer readable media for augmented reality beauty product tutorials. Methods disclose determining from live images of an augmented reality (AR) tutorial effects, the effects indicating changes to the live images of a presenter of the AR tutorial from a beauty product being applied to a body part of the presenter. The methods further comprising determining from the live images motion, the motion indicating motion of the beauty product from the beauty product being applied to the body part of the presenter and storing the effects and the motion.

The invention discloses a wood-based panel surface defect detection device and method, and relates to the technical field of panel defect detection, and the device comprises a conveying mechanism, a differential double-line scanning imaging assembly, a stroboscopic multispectral illumination unit, a coding trigger unit and an image processing unit. The plate speed is tracked in real time through the coding trigger unit, and the synchronous trigger signal is generated, so that the scanning line frequency of the camera is accurately matched with the plate movement speed, and the image motion blur is fundamentally eliminated. The differential double-line design allows high-resolution and standard-resolution images to be obtained simultaneously, and details and efficiency are both considered. The stroboscopic multispectral illumination unit alternately emits light with different wavelengths, and the contrast ratio of the defects to the background is enhanced by utilizing the reflection characteristic difference of the defects of different materials to the light with different wavelengths. The frequency domain detection branch performs adaptive weighting on defect features in a transform domain, and effectively decouples low-contrast defects and complex backgrounds.

The application discloses a kind of infrared image non-uniformity real-time correction method and system, the method includes: according to the current frame image gray statistical value and the previous frame image gray statistical value output by imaging system, using the function relationship of motion angular velocity and image motion threshold value determined offline to obtain the motion angular velocity of infrared imaging system;According to the motion angular velocity of infrared imaging system, the weight of the correction parameter update calculation required for the current frame image correction is obtained, and the adaptive correction parameter update step factor is obtained according to the motion angular velocity of infrared imaging system;According to the weight of the correction parameter update calculation required for the current frame image correction and adaptive correction parameter update step factor, the correction parameter of next frame image is obtained;According to the correction parameter of next frame image, the correction of row by row and pixel by pixel of the frame image is carried out.The application solves the non-uniformity problem of short-wave infrared image detector, and ensures the real-time performance of infrared image correction algorithm.

This invention discloses a sequential image fusion enhancement method based on three-axis slide table displacement sensing, belonging to the field of machine vision technology. The method includes the following steps: S1, constructing discretized state and output equations to complete the three-axis slide table motion modeling, and establishing the correlation between motion parameters and image blur kernel and pixel position offset; S2, using the inverse function of the camera response function combined with Taylor linearization, performing exposure normalization processing on multiple frames of observed images to obtain scene illumination estimates with a unified radiance scale; S3, obtaining multi-dimensional fusion weights for the image by setting a fusion weight calculation mechanism that correlates the quality features of the fused image with the slide table position; S4, completing the fusion of multiple frames of images through a weighted fusion model to obtain a high-quality single-frame fused image. Using the above method, the problems of image motion blur and uneven multi-frame imaging quality caused by three-axis slide table motion are effectively solved, achieving accurate fusion and deblurring enhancement of sequential images.

The application belongs to the technical field of aerospace, and provides a driving circuit supporting multi-degree-of-freedom image motion compensation function, which comprises a camera controller, a multi-degree-of-freedom image motion compensation timing generator, a vertical driving circuit, a two-dimensional direction charge transfer area array CCD detector, a horizontal driving circuit, a front-end signal processing circuit and an interface circuit. The camera controller is connected with the multi-degree-of-freedom image motion compensation timing generator. The multi-degree-of-freedom image motion compensation timing generator is connected with the vertical driving circuit, the two-dimensional direction charge transfer area array CCD detector and the horizontal driving circuit respectively. The vertical driving circuit and the horizontal driving circuit are further connected with the two-dimensional direction charge transfer area array CCD detector. The two-dimensional direction charge transfer area array CCD detector is connected with the front-end signal processing circuit. The front-end signal processing circuit is connected with the interface circuit. The application can realize on-chip compensation of roll, pitch, yaw and multi-degree-of-freedom dynamic motion without moving parts.