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90 results about "Feature point matching" patented technology

Point feature matching. In image processing, point feature matching is an effective method to detect a specified target in a cluttered scene. This method detects single objects rather than multiple objects.

Image alignment method and apparatus, electronic device, and computer readable medium

Embodiments of the present disclosure disclose image alignment methods, devices, electronic equipment and computer readable media. A specific implementation of the method comprises: respectively performing distortion correction on a first image and a second image to obtain a third image and a fourth image; performing feature point matching on the third image and the fourth image to obtain a feature point information group sequence; determining whether a homography matrix corresponding to a current rotation angle exists; in response to the homography matrix not existing, determining the homography matrix according to the feature point information group sequence; and performing perspective transformation on the fourth image according to the homography matrix, so that the fourth image after the perspective transformation is aligned with the third image. This implementation does not need to set a complex hardware structure, thereby achieving efficient and accurate image alignment.
Owner:ADDX (BEIJING) TECH CO LTD

Gimbal calibration methods, devices, electronic equipment, storage media and software products

PendingCN122317421AComputer hardwareData stream
This application belongs to the field of data processing technology and provides a gimbal correction method, device, electronic device, storage medium, and program product. The embodiments of this application acquire an image data stream including multiple consecutive frames of first image data. Based on a preset mapping table, feature point matching is performed on the image data stream to determine matching feature points, the target image data where the matching feature points are located, and the matching gimbal information. Based on the matching gimbal information of the matching feature points, the gimbal information deviation is determined. When the gimbal information deviation is greater than or equal to a first preset threshold, a differential step number is determined. Based on the differential step number, angle compensation is performed on the motor so that when the motor drives the gimbal to move, the gimbal reaches the target position. Feature point matching can be performed on multiple consecutive frames of image data stream in real time, and automatic compensation of the motor can be performed in real time based on the matching feature points, realizing automated gimbal correction processing during equipment patrol operations, applicable to various dynamic scenarios.
Owner:TP-LINK

An infrared and visible light image registration method

This invention relates to image registration methods, specifically to an infrared and visible light image registration method. It addresses the problem that existing infrared and visible light image registration methods cannot simultaneously achieve both efficiency and accuracy. This invention first acquires multiple sets of visible light images and corresponding infrared images of a target at different distances, and processes them using the SIFT operator and RANSAC algorithm. A table is then created to record the transformation matrix from the infrared image to the visible light image at different distances. Subsequently, the visible light image to be registered and the corresponding infrared image are input into a trained convolutional neural network for processing. The output is the shooting distance values ​​of the visible light and infrared images to be registered. The corresponding transformation matrix is ​​obtained by looking up the table, and the infrared and visible light images are registered using this transformation matrix. The RANSAC algorithm is used to remove mismatched feature points, and combined with the distance prediction accuracy of the convolutional neural network, the accuracy of the transformation matrix is ​​doubled. Because of the pre-established table, feature point matching and matrix calculation are not repeatedly performed on each frame of the image, significantly improving the registration speed.
Owner:XIAN INST OF OPTICS & PRECISION MECHANICS CHINESE ACAD OF SCI

Combination method and device of different dimensional geological models, equipment and storage medium

The application relates to the field of oil and gas exploration, and discloses a method, device and equipment for merging geological models of different dimensions and a storage medium. The method comprises the following steps: acquiring a first geological model to be merged and a second geological model to be merged; performing data preprocessing operations on the first geological model to be merged and the second geological model to be merged respectively; and performing grid expansion processing on the first geological model to be merged based on an adaptive grid expansion algorithm. In the application, the low-dimensional geological model is subjected to adaptive grid expansion so as to match the grid structure of the high-dimensional geological model, and meanwhile, the spatial alignment of the two geological models is accurately realized by using a feature point matching and elastic registration algorithm, so that the geological models of different dimensions are quickly and accurately merged together, the tedious manual adjustment work is reduced, the time and cost of model merging are greatly shortened, and the work efficiency is improved.
Owner:PETROCHINA CO LTD +1

Image processing method and device, electronic equipment, storage medium and program product

This application provides an image processing method, apparatus, electronic device, storage medium, and program product. The image processing method includes: acquiring an image to be matched; the image to be matched includes a surveillance camera to be updated and marker information for marking the position of the surveillance camera to be updated in the image to be matched; determining a feature point matching relationship between the image to be matched and surveillance camera images in a preset surveillance camera image library; the preset surveillance camera image library includes multiple surveillance camera images, each of which includes a surveillance camera and marker information for marking the position of the surveillance camera in the corresponding surveillance camera image, and the surveillance cameras included in different surveillance camera images are different; determining whether the surveillance camera to be updated is a newly added surveillance camera based on the feature point matching relationship, the marker information in the image to be matched, and the marker information of the surveillance camera images in the preset surveillance camera image library. This method is used to accurately determine newly added surveillance cameras.
Owner:DITU (BEIJING) TECH CO LTD

Image feature point matching method and device, and storage medium

ActiveCN115482403BImaging FeatureThresholding
The present disclosure provides a feature point matching method and device for images and a storage medium. The method comprises determining a plurality of candidate matching point pairs of feature points in two images, mapping the plurality of candidate matching point pairs into a network graph, establishing a first energy function representing the energy required for marking the plurality of candidate matching points in the network graph as correct matching point pairs or incorrect matching point pairs based on image disparity information, solving the minimum cut of the network graph as the optimal value of the first energy function by using a maximum flow / minimum cut algorithm, and determining the correct matching point pairs and the incorrect matching point pairs according to the minimum cut. The correct matching point pairs in the images can be determined by using the graph cut principle. This process does not need to rely on the setting of a threshold, thereby improving the accuracy of feature point matching. In addition, the present scheme does not need to perform model training and has strong scene generalization ability. Thus, the effect of feature point matching is improved.
Owner:CHINA COAL RES INST

Camera angle offset detection method, device, equipment and storage medium

PendingCN122312477AEssential matrixComputer graphics (images)
This application relates to a method, apparatus, device, and storage medium for detecting camera angle shift, and pertains to the field of computer technology. The method includes: acquiring a standard image captured by the camera at a first time point and an image to be detected captured by the camera at a second time point; matching first image feature points of the standard image with second image feature points of the image to be detected; if the number of successful matches between the first and second image feature points is greater than or equal to a preset number, then for any set of successfully matched first and second image feature points, determining an essential matrix based on the first image coordinates of the first image feature points and the second image coordinates of the second image feature points; and based on the essential matrix, determining whether an angle shift has occurred in the camera between the first and second time points. This method can improve the accuracy of camera angle shift detection.
Owner:SF TECH CO LTD

Unmanned aerial vehicle based cable-stayed bridge stay cable video multi-target recognition tracking and vibration extraction method

This invention proposes a method for multi-target recognition, tracking, and vibration extraction of bridge cable-stayed bridge videos based on unmanned aerial vehicles (UAVs). The method includes: Step 1: Constructing a refined tilted and slender target detection model for bridge cable-stayed bridges based on the YOLOv11 model; Step 2: Proposing a multi-target tracking algorithm that integrates the tilted and slender target detection model and the StrongSORT algorithm; Step 3: Improving the displacement extraction method by combining SIFT / ORB feature point matching and sub-pixel refinement techniques; Step 4: Designing a UAV motion correction algorithm based on variational mode decomposition and time-frequency domain joint screening; Step 5: Constructing a joint working mode analysis algorithm that combines natural excitation technology and random subspace recognition algorithm. This method achieves high-precision extraction of cable-stayed bridge vibration signals and identification of cable-stayed bridge modal parameters, providing technical support for health monitoring of long-span cable-stayed bridges.
Owner:HARBIN INST OF TECH

A protein structure-density map fitting method based on feature point matching

ActiveCN121687215BData visualisationBiostatisticsStructural biologyData set
A protein structure-density map fitting method based on feature point matching belongs to the field of bioinformatics and structural biology, constructs a protein complex structure dataset, converts the structure into a unified resolution point set through voxelization and uniform sampling, and adopts the farthest point sampling to construct a multi-resolution point set to depict scale geometry; a deep learning network is adopted to learn the rotation equivariant and invariant features of the structure and the density map under multi-resolution, and a geometric self-attention mechanism based on nearest neighbor layer-by-layer expansion is introduced at the neck to enhance the representation; a coarse-to-fine feature point matching strategy is adopted in the training stage, combined with a superpoint matching loss, a point-level matching loss and a contrast rotation loss optimization; in the inference stage, multi-scale and hybrid sampling are adopted, and candidate poses are generated through translation mask, the candidate poses are screened and optimized according to the structure-density map fitting score, and the final fitting result is output. The present application can realize high-precision and high-efficiency structure-density map fitting under complex conditions.
Owner:ZHEJIANG UNIV OF TECH

A path planning method and system based on multi-modal joint integration

The application discloses a path planning method and system based on multi-modal joint integration, which automatically identifies and excludes the influence of dynamic objects by using image processing and deep learning technology, and ensures that the SLAM and VIO systems only match stable static background objects. The technical scheme is as follows: first, the image feature point matching technology is used to preliminarily screen and match the feature points in the input image. Then, a deep learning network is introduced for fine segmentation and instance recognition. The deep learning network can accurately distinguish between static objects and dynamic objects, and accurately identify the existence of dynamic objects in complex scenes. After identifying the dynamic objects, intelligent exclusion strategies are adopted to exclude these dynamic objects from the feature matching process, ensuring that the SLAM and VIO systems only perform feature matching and positioning calculation based on stable static background objects, avoiding the negative impact of dynamic objects on positioning accuracy, and improving the stability and applicability of the system in complex dynamic environments.
Owner:JIANGSU XINGTU INTELLIGENT TECH CO LTD

A computer automatic protection system and method

PendingCN122365572AIdle timeVision based
This invention discloses an automatic computer protection system and method, relating to the field of computer file security protection. The technical solution includes: detecting user idle time; identifying sensitive tabs in the browser when the user is about to leave, and extracting the ORB feature point set of their content area as a content fingerprint; creating a Gaussian blur overlay window when the user has left, tracking the positional changes of the content area through feature point matching and affine transformation, and dynamically adjusting the position and size of the overlay window so that the overlay always follows the movement of the file content; and destroying the overlay window when the user returns, restoring the file to normal display. This invention, through content area tracking based on visual features and progressive blurring, solves the problem of sensitive file content being exposed and background tasks being interrupted when a user is briefly away, achieving fine-grained protection at the file and tab levels, and helping to improve the security of computer files in the office environment.
Owner:承德护理职业学院

A feature point matching method across multispectral images

This invention relates to a feature point matching method for transspectral images, comprising: inputting calibrated and aligned transspectral image pairs into a generative adversarial network model for training to obtain a mode conversion model; inputting a single-modality non-visible light image into a key point extraction and matching model composed of a convolutional neural network and a graph neural network for training to obtain a matching model; inputting the image pairs to be matched into the mode conversion model and the matching model, extracting key points and feature descriptors from the image pairs to be matched, and performing matching to obtain the matching relationship of key points between images; and then using a random sampling consensus algorithm to remove outliers to obtain the matching relationship between images with a confidence level greater than a preset threshold. Compared with the prior art, this invention can reliably extract and match feature points from transspectral images with large modal differences, thereby obtaining rich and stable scene information and improving the perception capability of autonomous vehicles in low-light scenes.
Owner:TONGJI UNIV

Image alignment method and device based on variable grid division and electronic equipment

Embodiments of the present disclosure disclose a variable grid partition-based image alignment method, device and electronic equipment. A specific implementation of the method comprises: acquiring a pair of images to be aligned, wherein the pair of images to be aligned comprises an infrared image captured by an infrared camera and a black light image captured by a black light camera; performing feature point matching on the images to be aligned in the pair of images to be aligned to obtain a set of matching point pairs; performing global image alignment on the images to be aligned in the pair of images to be aligned according to the set of matching point pairs to obtain a pair of globally aligned images; performing variable grid partition on the globally aligned images in the pair of globally aligned images to obtain a pair of variable grid partitioned images; and performing local image alignment on the variable grid partitioned images in the pair of variable grid partitioned images according to the set of matching point pairs to obtain an alignment result. The implementation improves the image quality.
Owner:ADDX (BEIJING) TECH CO LTD

An adaptive multi-view cooperative camera offset correction method and system

The application relates to the field of computer vision and intelligent monitoring technology, and discloses a self-adaptive multi-view cooperative camera offset correction method and system, which comprises the following steps: determining a threshold based on an offset angle and a feature point matching pair quantity mapping relationship; calculating the feature point matching pair quantity of a current image and a reference image and determining an offset level. If the offset is slight, camera pose correction is performed based on the reference image and the current image; if the offset is ordinary, multi-view joint correction of the camera pose is performed based on the reference image and a plurality of historical view images; if the offset is serious, an additional view image is collected, and multi-view joint correction of the camera pose is performed based on the reference image, the current image and the additional view image. The application establishes a self-adaptive grading determination mechanism based on the mapping relationship between the feature point matching quantity and the offset angle, improves the adaptability of the system to different working conditions, and avoids waste of computing resources.
Owner:MAINTENANCE & TEST CENTRE CSG EHV POWER TRANSMISSION CO

Multi-person picture synthesis method and device, equipment and medium

The invention discloses a multi-person picture synthesis method and device, equipment and a medium. The method comprises the following steps: splicing original images at multiple angles to obtain a panoramic image of a current target area; real-time tracking is carried out according to all face position information in the current frame, sound source information is collected synchronously, and a current spokesman in the target area is determined; and generating a multi-person synthetic picture according to the real-time motion picture of the current spokesman and the real-time motion pictures of other people. Multi-angle images are collected for feature point matching and image splicing, a high-quality panoramic image is generated, wide-area visual angle coverage is achieved, a more detailed image is obtained, all face positions are locked, corresponding sound source information is collected, a current spokesman is recognized, a multi-person synthetic picture which highlights the current spokesman and gives consideration to other people is generated, and the multi-person synthetic picture is obtained. The integrity of the panoramic information is guaranteed, meanwhile, the key content is clearly presented, the problems that the visual angle is limited and information is overloaded are solved, and the communication efficiency and watching experience of a teleconference are improved.
Owner:SZ REACH TECH

Video key frame extraction method, device and equipment and storage medium

ActiveCN115393761BFrame sequenceEngineering
The application discloses a video key frame extraction method, device and equipment and a storage medium. The method comprises the following steps: in a video frame sequence after a current key frame, a candidate video frame matched with the current key frame is determined; according to the feature point matching uniformity between the current key frame and each candidate video frame and the feature point distribution characteristics of the candidate video frame, a model fitness score between the current key frame and each candidate video frame is determined; and according to the model fitness score, a next key frame corresponding to the current key frame is determined from the candidate video frame. The application effectively solves the problems of high redundancy of key frame extraction and high re-projection error of subsequent three-dimensional reconstruction.
Owner:MIGU COMIC CO LTD +2

A monocular image sequence satellite attitude estimation method

ActiveCN119068054BLabeled dataImage sequence
The application discloses a monocular image sequence satellite attitude estimation method, and belongs to the technical field of space target perception, and comprises the following steps: acquiring satellite sequence images shot by a space-based monocular camera as input images; completing segmentation of a solar panel and a load main body; obtaining a single-frame satellite attitude based on a segmentation result; screening feature points in the satellite sequence images based on a feature extraction deep learning network and a preliminary semantic segmentation result; guiding feature point matching based on semantic information of an extracted mask; iteratively optimizing the feature point matching by using a polar line constraint; obtaining an essential matrix between adjacent images; calculating satellite attitude changes in the satellite sequence images; and combining the single-frame satellite attitude to obtain a series of attitudes of the satellite in the satellite sequence images. According to the technical scheme, the attitude estimation task can be better completed without labeled data, and the generalization performance for a non-cooperative target satellite is improved.
Owner:BEIHANG UNIV

A Method and System for Detecting Icing on Transmission Lines Based on Unmanned Aerial Vehicles

This invention relates to the field of thickness visual measurement technology, specifically to a method and system for detecting icing on power transmission lines based on unmanned aerial vehicles (UAVs). The method acquires a continuous video stream, performs global motion compensation using feature point matching, analyzes the temporal grayscale changes of pixels after image stabilization to extract a photometric fluctuation map, locates the insulator string connection point physically connected to the conductor as the source point, performs diffusion connectivity analysis in the wavefront propagation velocity field constructed by the photometric fluctuation, filters out non-connectivity interference based on the difference in connectivity propagation time, and obtains the conductor region. Within the conductor region, the cross-sectional width is measured, and the actual physical icing thickness is calculated. This invention integrates video stabilization, temporal micro-motion analysis, and spatial topological connectivity physical constraints, improving detection accuracy in environments with weak texture and dynamic interference, achieving a more accurate quantitative perception of the true state of iced conductors in complex environments, and providing more reliable data support for the operation and maintenance of power systems with icing.
Owner:WEIHUI POWER SUPPLY CO OF STATE GRID HENAN ELECTRIC POWER CO

Video transmission high-definition image intelligent splicing method and system

The application relates to the technical field of image splicing, and discloses a video transmission high-definition image intelligent splicing method and system; the system comprises an image preprocessing module, a feature point matching and screening module, an image optimal splicing seam generation module and a video output module; first, a video is acquired and dynamic range equalization is carried out, an adaptive noise reduction method is used for filter processing, and image correction is implemented; second, an adaptive corner point detection algorithm is used for feature point extraction, feature points are matched based on multidimensional space data indexing, a feature point matching pair is obtained, and feature point screening is carried out; then, an overlapping area is searched, a dynamic search algorithm is introduced to generate an image optimal splicing path, and an image optimal splicing seam is obtained; finally, the image is divided according to a dynamic grid, and video output is realized by using priority sorting; the application realizes the purpose of image intelligent splicing by processing and splicing the video image, and the method is accurate and objective.
Owner:GUANGZHOU WEITUXIN ELECTRONIC TECH CO LTD

Multi-machine cooperative mapping method based on layered boundary point detection algorithm and electronic device

PendingCN122329279ARescue robotAlgorithm
The present application relates to a multi-machine cooperative mapping method based on hierarchical boundary point detection algorithm and electronic equipment, the method comprises the following steps: constructing a centralized system by multiple mobile robots equipped with laser radar and depth camera, each robot uses Gmapping algorithm for local mapping and positioning; the system uses map fusion technology based on feature point matching, extracts the features of the local map and calculates the transformation matrix to unify the local map of each robot to the global coordinate system; using the cooperative exploration strategy based on the front point, combined with the multi-machine task allocation algorithm, the efficient cooperative coverage of indoor unknown environment is realized. Through the multi-machine centralized cooperative architecture and multi-source sensor fusion technology, the present application solves the problem of low efficiency and limited coverage range of single robot mapping, improves the integrity and real-time performance of mapping in complex indoor environment, and can be widely applied to indoor autonomous navigation robots, intelligent warehouse inspection systems, indoor rescue robots, building intelligent security and other fields.
Owner:SOUTH CHINA UNIV OF TECH

Surveying method, device and equipment based on high-precision position sensing, and storage medium

The present application relates to a kind of based on high-precision position sensing surveying and mapping method, device, equipment and storage medium, comprising the following steps, utilize high-precision GNSS receiver to collect the position signal of surveying and mapping area target survey point, obtain survey point coordinate and associate time stamp, form with time tag coordinate;Calibration coordinate is obtained by threshold screening and correction processing, and adjacent survey point spacing data is accounted;Calibration coordinate is combined with survey point spacing data, and the basic geographic three-dimensional base map obtained is grid division and feature point matching, and regional grid chart is generated;Based on regional grid chart, calculate terrain undulation, obtain grid elevation difference;Finally, combined with grid elevation difference, basic geographic three-dimensional base map is implemented texture filling and boundary optimization, complete the fine expression of topographic feature, output high-precision surveying and mapping image, solve how to improve the anti-interference ability of survey point data, and realize the technical problem of the automation, fine reconstruction from discrete coordinate to high-fidelity three-dimensional topographic map.
Owner:GUANGZHOU JIA HE TECH CO LTD

Drone tilt photography-based intelligent monitoring method and system for a river basin

ActiveCN121600403BLandformDrainage basin
This invention relates to the field of watershed topographic monitoring technology, providing a method and system for intelligent watershed monitoring based on UAV oblique photography. The method includes the following steps: Based on a watershed digital elevation model, the flight altitude is dynamically adjusted according to topographic undulations to acquire oblique photographic images; potential feature points are initially screened on each image, and the quality index of each potential feature point is determined based on neighborhood conditions and elevation information; the final retained feature points are determined based on a quadtree algorithm, topographic conditions, and the quality index; the texture information of the surrounding images of the final retained feature points is encoded, and this encoded information is used for comparison and matching in different images; feature point matching is performed, and the matching confidence of each feature point is determined. When the matching confidence is lower than a confidence threshold, dynamic accuracy compensation is performed based on structure tensor and texture gradient to determine the 3D model. This invention can promptly detect and correct errors that occur during the matching process, improving the accuracy and quality of the 3D model.
Owner:HUNAN HUIJIE SURVEY & DESIGN CO LTD

Image feature point extraction method and system

The application provides an image feature point extraction method and system, comprising: constructing a feature map, and obtaining the center coordinates of all circular horn mouths of heat insulation sleeves; image acquisition and preprocessing; target recognition and feature point extraction; feature point matching and position and posture calculation; positioning result optimization. The application identifies a circle (the heat insulation sleeve on the top of a nuclear power plant storage room has a circular horn mouth shape and faces downward) from a perception image, calculates the center position of the circle as a stable feature point, and matches the constructed map for robot positioning. The robot can overcome the problem of influence of light and view angle change on a traditional algorithm, and realizes stable positioning and navigation in a completely dark and simple structure storage room.
Owner:SHANGHAI JIAOTONG UNIV

Method, system, medium and device for calculating ice thickness of power transmission line

The present application relates to the technical field of power transmission line safety monitoring, and provides a power transmission line ice thickness calculation method, system, medium and equipment to solve the problem of low ice thickness identification accuracy in rain, snow and fog weather or backlight scenes. The power transmission line ice thickness calculation method includes, under the mixed constraints constructed by geometric information and physical constraints, using a perspective transformation method based on sensor physical parameters and feature point coordinates to optimize the distortion-corrected power transmission line image; using a trained power transmission line segmentation model to process the optimized power transmission line image to obtain a power transmission line region image; extracting ice feature points in the power transmission line region image, calculating the power transmission line center offset based on feature point matching and correcting the power transmission line position deviation before and after icing to obtain the ice-covered power transmission line diameter and the actual diameter of the non-iced power transmission line, introducing a temperature correction coefficient to obtain the final ice thickness, which takes into account environmental adaptability and detection accuracy.
Owner:STATE GRID INTELLIGENCE TECHNOLOGY CO LTD

Method, system, medium and device for calculating ice thickness of power transmission line

This invention relates to the field of power transmission line safety monitoring technology. To address the problem of low accuracy in identifying icing thickness under rain, snow, fog, or backlight conditions, it provides a method, system, medium, and equipment for calculating power transmission line icing thickness. The method for calculating power transmission line icing thickness includes optimizing a distortion-corrected power transmission line image using a perspective transformation method based on sensor physical parameters and feature point coordinates under a hybrid constraint constructed from geometric information and physical constraints; processing the optimized image using a trained power transmission line segmentation model to obtain a power transmission line region image; extracting icing feature points from the region image; calculating the center offset of the power transmission line based on feature point matching and correcting the positional deviation of the power transmission line before and after icing to obtain the diameter of the iced power transmission line and the actual diameter of the uniced power transmission line; introducing a temperature correction coefficient to obtain the final icing thickness, which balances environmental adaptability and detection accuracy.
Owner:STATE GRID INTELLIGENCE TECHNOLOGY CO LTD

Method, device and equipment for determining camera extrinsic parameter and storage medium

The present disclosure provides a method and device for determining camera extrinsic parameters, an equipment and a storage medium, relating to the technical field of vehicle-road cooperation, and particularly to the technical fields of camera parameter calibration and camera coordinate transformation. The specific implementation scheme is as follows: obtaining pixel coordinates of at least one feature point in an image, and matching corresponding world coordinates for the at least one feature point based on preset map information to obtain a coordinate pair of the at least one feature point. The coordinate pair includes pixel coordinates and world coordinates corresponding to the respective feature points, and the map information includes world coordinates of each position in a region photographed by the camera. The extrinsic parameters of the camera are determined according to the coordinate pair. The extrinsic parameters of the camera can be automatically determined based on the preset map information, so as to automatically update the extrinsic parameters of the camera subsequently, thereby saving manpower, shortening the time for determining the extrinsic parameters of the camera, and improving the timeliness of the extrinsic parameters of the camera.
Owner:APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD

Image similarity comparison method, device and medium based on feature matching and segmentation

The present application relates to a kind of feature matching and segmentation-based image similarity comparison method, equipment and medium, it includes: S1: obtaining image sample, construct comprehensive target feature;S2: using clustering segmenter to carry out superpixel segmentation to input image, in combination with similarity map generation and area selection mechanism realizes target area segmentation;S3: in target area, using SIFT to extract feature point, using FLANN matcher to carry out feature matching;S4: to feature point matching result removes abnormal matching point;S5: according to matching point set, calculate homography matrix, calculate the overlap area between images by perspective transformation, obtain overlap rate and overlap rate error;S6: according to the preset overlap rate threshold and overlap rate error threshold, the similarity of two images is automatically judged, and the similar image set is output.The accuracy of similarity judgment is significantly improved by the double optimization of target segmentation and abnormal point rejection.Experiments show that the overlap rate calculation accuracy on building image dataset reaches more than 85%.
Owner:SHANGHAI RESEARCH INSTITUTE OF BUILDING SCIENCES CO LTD

A panoramic image determination method, device, apparatus and storage medium

The application discloses a panoramic image determination method, device and equipment and a storage medium. The method comprises the following steps: acquiring initial images collected by multiple cameras, performing edge detection on the initial images to obtain image edges, performing image space alignment and image splicing based on the positional relationship of the initial images to obtain an initial panoramic image; determining an overlapping area in the initial panoramic image based on the image edges of the initial images, performing pixel adjustment on the overlapping area in the initial panoramic image to obtain a standard panoramic image; and performing pixel fusion on the overlapping area in the standard panoramic image based on pixel feature point matching to obtain a target panoramic image, which can solve the problem that the information described by the existing panoramic image determination method is not clear and accurate, and a panoramic image with clearer, more complete and more accurate information description is obtained, thereby improving the experience of users.
Owner:HUIZHOU DESAY SV AUTOMOTIVE