214results about How to "Good splicing effect" patented technology

The invention belongs to the technical field of panoramic splicing, and discloses a panoramic splicing method based on multi-camera calibration, a panoramic splicing system, which respectively performs internal reference calibration and distortion parameter estimation on each camera. Several pairs of checkerboard pictures with different positions and postures are simultaneously collected from twoadjacent cameras respectively. Corner detection and matching are carried out after distortion correction of the pair of checkerboard pictures. The initial homography matrix between two cameras is selected and estimated from the interior points. The initial homography matrix between the two cameras and the calibration matrix are used to calculate the initial rotation matrix between the two cameras.The initial rotation matrices of all camera pairs are optimized globally according to the minimum re-projection error. M algorithm updates the parameters to get the final optimization results. The invention utilizes a multi-camera calibration method to make a splicing template, avoids the process of feature point extraction and matching required for each splicing, and still obtains a better splicing effect under the condition of fewer feature points or low overlap rate.

The embodiment of the invention provides an image processing method and an image processing device. The method comprises the following steps: face parts of a source image and a target image are acquired; a comparative analysis is made on the face parts of the source image and the target image to obtain a fusion line between the face parts of the source image and the target image, wherein the fusion line is a pixel line with the minimum image difference in areas above the eyebrows of the face parts of the source image and the target image and is located in the areas above the eyebrows of the face parts; and the face parts of the source image and the target image are respectively segmented by taking the fusion line as a dividing line to correspondingly obtain a first part and a second part, and in the target image, the first part of the face part of the target image is replaced with the first part of the face part of the source image to obtain a processed image, wherein the first parts are parts including the noses in the face parts. The image processing method and the image processing device provided by the embodiment of the invention can be applied to image processing in which the face of a target image is replaced with the face of a source image, and the image processing effect after replacement can be improved.

The invention discloses a panoramic video quick splicing method, which comprises the following steps of S1, performing offline calibration on a camera group through a calibration object image, and obtaining and storing a projection transformation matrix of a camera; S2, acquiring to-be-spliced images collected by the camera group for a shooting area, performing offline detection and registrationafter preprocessing, and processing the images through a projection transformation matrix of the camera to obtain and store an image mapping matrix of the to-be-spliced images; and S3, acquiring the current to-be-spliced image acquired by the camera group in real time, projecting the current to-be-spliced image into a standard coordinate system, calling the image mapping matrix to determine an overlapping region of the current to-be-spliced image, and then performing splicing fusion processing to generate a panoramic spliced image. The invention further provides a system for realizing the method, so that lossless fusion of the splicing seams in the splicing process is realized, the fusion algorithm is small in calculated amount, high in operation efficiency and better in splicing effect, the requirements of panoramic monitoring in various civil and military fields can be well met, and the method is suitable for popularization.

The invention provides an image connection method based on a SURF algorithm, relating to the technical field of image processing. The problem of an unideal image connection processing effect caused by a low feature point extraction speed and low robustness in by using a SIFT algorithm and a Harris algorithms is solved. Matlab is applied to drive an industrial camera, and the calibration of a camera is completed so as to use the camera to carry out video recording. A gray world method is used to carry out white balance adjustment on each frame of image in a recorded video. The SURF algorithm is applied to carry out feature point extraction on two photos which are recorded at the same time after the white balance adjustment. A RANSAC algorithm is applied to carry out mismatching feature point pair removing on the two images whose feature points are marked. The interpolation is used, the images which are processed by the RANSAC algorithm are connected together, the image connection is completed, and an image with a larger viewing angle is obtained. The method is especially suitable for the image connection under an industrial camera platform.

The invention discloses a panoramic imaging method based on a camera array and mainly aims to solve the problems that in the prior art, a splicing scene is small, and a "ghost shadow" exists. According to the scheme, (1) array cameras are used to acquire multiple images, two images are read, SIFT features of the two images are extracted respectively, feature matching search is performed, matching points of the two images are obtained and screened, an optimal transformation matrix is calculated, the images are transformed according to the optimal transformation matrix, and an improved optimal stitching line algorithm and a weighted average fusion algorithm are adopted to perform fusion splicing on the images; and (2) the step (1) is repeated till splicing of the upper image and the lower image is completed, the splicing image is used as a to-be-spliced image, splicing is continued after the to-be-spliced image is rotated counterclockwise by 90 degrees, and the result is rotated clockwise by 90 degrees to obtain a final splicing panoramic image. Through the method, the "ghost shadow" phenomenon is remarkably eliminated, and the obtained panoramic image is large in view field, high in resolution, more approximate to a real panorama and capable of being used for splicing of larger scene images in the horizontal direction and the vertical direction.

The invention relates to the organic light emitting diode display technology, in particular to an organic light emitting diode (OLED) display panel and an OLED spliced display screen with the same. The OLED display panel comprises a base plate, wherein the base plate is provided with an OLED module; the periphery and the upper part of the OLED module are provided with packaging layers; a structure formed by the OLED module and the back of the luminous surface of the display panel is provided with perforations from which a cathode and an anode are respectively introduced to the back of the luminous direction of the display panel; the positions for introducing the cathode and the anode on the back of the luminous surface of the display panel are respectively provided with conducting film layers which are not mutually connected; and a bonding area of an external-connection circuit is introduced out of the conducting film layers. According to the OLED display panel disclosed by the invention, the bonding area of the external-connection circuit is transferred to the back of the luminous surface of the device from the periphery of the OLED module edge so as to greatly reduce the non-luminous area of the device, and the OLED spliced display screen formed by splicing the OLED display panel is provided with a smaller abutted seam so as to optimize the splicing effect of the OLED spliced display screen.

Provided is an image splicing method and device. The method comprises the steps that position matching is performed on a first image and a second image based on a pyramid-structured normalized orthogonal correlation coefficient and sub-pixel estimation, and the first image and the second image are two adjacent images to be spliced; and an image splicing edge is confirmed according to the result of position matching, and splicing of the first image and the second image is completed along the image splicing edge. Rapid and high-efficiency image splicing can be realized by the technical scheme, and higher splicing precision can also be guaranteed.

A quick splicing method for a remote sensing image of an unmanned aerial vehicle comprises the steps of (1), performing coarse extraction of characteristic points based on a SURF algorithm; (2), eliminating mis-extracted characteristic points by means of an RANSAC algorithm; (3), performing accurate matching of the characteristic points of an image by means of a least square matching algorithm; (4), performing an image fusion process; and (5), splicing the image, thereby obtaining the remote sensing image of the unmanned aerial vehicle. According to the quick splicing method, the characteristic points of the remote sensing image of the unmanned aerial vehicle is coarsely extracted by means of the SURF algorithm firstly, and then the mis-extracted characteristic points are eliminated by means of a RANSAC algorithm. Finally accurate matching of the characteristic points and real-time splicing of the image are realized by means of the least square image matching algorithm. The least square image matching algorithm can realize a good splicing effect and high splicing efficiency, and furthermore can satisfy a requirement for real-time splicing. The longitudinal overlap degree of the to-be-spliced unmanned aerial vehicle remote sensing image is larger than 60%, and the side overlap degree is larger than 30%. The quick splicing method has advantages of low calculation amount, high splicing effect, high splicing efficiency, high matching degree and effective realization of real-time image splicing.

The invention provides a panorama image stitching method based on three-dimensional laser point cloud, and the method comprises the following steps during calculating pixel coordinates of a raw image corresponding to a target panorama image: 1) constructing a ray according to pixel coordinates of the target panorama image, and converting a ray in a point cloud coordinate system through employing the posture of a camera in the point cloud coordinate system; 2) obtaining three-dimensional coordinates in the ray direction through neighbor point cloud interpolation; 3) calculating pixel coordinates corresponding to the raw image through employing the position and posture of the camera in the point cloud coordinate system and the internal and external parameters of the camera according to the three-dimensional coordinates. The method provided by the invention irons out the defects of a conventional panorama image stitching method, can improve the stitching accuracy, reduces the manual operation, shortens the data production cycle, and has very high economic and social values.

The invention provides an image mosaic method and device and a storage medium. The method comprises the following steps: positioning the overlapping region of two images to be stitched, obtaining theinformation of the overlapping region, dividing the two overlapping sub-images into blocks in the boundary line of the overlapping region, obtaining the pair of the sub-images of the overlapping region, and directionally registering the feature points to obtain the feature point set of the overlapping region; According to the optimized TPS thin plate spline function, the feature point set is calculated, two deformation images to be fused are obtained, the deformation sub-image pairs corresponding to the boundary line of the overlapping region in the deformation image to be fused are obtained,the pixel position information of the deformation sub-image pairs is mapped to the unit circle, and the smooth transition process is carried out, so as to obtain the overlapping region image. The invention extracts feature points in the overlapping area, which improves the efficiency of feature extraction and the accuracy of matching. Using the optimized TPS function to deform the original image,the problem of ghost and deformation is restrained effectively. Adaptively smoothing pixel value of unit circle solves the problem of chromatic gap.

The invention provides a video splicing system and method for a binocular robot, and belongs to the technical field of robot visual images. The system comprises a robot video frame acquisition module,an image splicing system processing module, a wireless transmission module and a terminal display module, wherein the image splicing system processing module comprises an overlapping area positioningmodule, a feature point parallel directional registration module, an image color correction module, an image deformation module, a dynamic planning suture line module and an image smooth fusion module; the system can carry out system, video frame coincidence area positioning, feature point directional registration, image color correction, image deformation, dynamic suture line planning and imagesmooth fusion processing on an image frame collected by a robot in a binocular mode to obtain high-quality spliced video; the visual field of the robot is greatly expanded, purposes of movement, positioning, identification and the like can be better completed, and the image frame splicing speed and the splicing efficiency are improved.

The invention discloses a multi-channel video real-time splicing method, and the method comprises the steps: firstly collecting real-time video streams based on a multi-channel buffer queue through amulti-channel camera, and synchronizing the real-time video streams; secondly, distortion correction and registration are carried out on video image frames which are collected by multiple cameras andhave overlapped parts; and finally, forming a panoramic video image stream comprising multiple paths of video stream images with perfect transition through image fusion. According to the invention, the problem of deformation of large-format scene images acquired by cameras such as a wide-angle lens and a fisheye lens is solved, the acquisition and synchronization of real-time video streams are realized, and the video splicing effect is good while the real-time performance of video splicing is ensured.

The invention relates to an OLED (organic light-emitting diode) display technology and specifically relates to an OLED display unit and an OLED spliced display screen with the same. The OLED display unit comprises a substrate and an OLED module arranged on the front surface of the substrate, wherein a packaging layer is arranged on the periphery and the front surface of the OLED module, conductive films are plated on the front surface and the peripheral side walls of the substrate, the conductive film on any one side wall of the substrate is connected with an anode in the OLED module, the conductive film on another side wall of the substrate is connected with a cathode of the OLED module, an anode leading wire and a cathode leading wire are respectively led out of the conductive films on another two side walls of the substrate and connected with an external circuit, and the two side walls of the substrate are externally connected with binding regions. According to the OLED display unit disclosed by the invention, the binding regions of an OLED panel are transferred onto the side walls of the substrate through a packaging surface of the OLED module, so that a non-luminous side frame region of a device is reduced, and the splicing effect of the OLED spliced display screen is optimized.

The invention relates to an image splicing method and an image splicing system, which belong to the technical field of image processing. The method comprises the steps of: firstly selecting M groups of relative points from overlapped parts of a first image and a second image to be spliced, and selecting two groups of relative points from all groups of relative points as splicing reference points; then splicing the images by taking the splicing reference points as references; adjusting non-overlapped points in the overlapped parts of the spliced images; and finally cutting the overlapped parts of the spliced images. The image splicing method and the image splicing system have the advantages that the seamless splicing of a plurality of pairs of reference points can be supported, a user is only required to select the relative points, the operation is simple and the splicing effect is good.

The embodiments of the invention provide a dome screen demarcating method, a demarcating system and a control device. The method includes the following steps: constructing in advance a mapping sphere model W of a sphere camera, and acquiring a position T of the sphere camera in a dome screen space; determining a coordinate X of a sampling point of a demarcating image which is projected by a first projector on the sphere camera, in accordance with the mapping sphere model W and the position T of the sphere camera in the dome screen, acquiring a position coordinate Z of the coordinate X of the sampling point in the sphere screen space; in accordance with the coordinate V of the first projector and the coordinate Z of the coordinate X of the sampling point in the sphere screen space, constructing a mathematics conversion model U1 of the demarcating image projected by the first projector to a dome screen image; using the aforementioned method, constructing mathematics conversion models U2......Un of demarcating images output by other projectors to the dome screen images, in which n is the number of the projectors; in accordance with the mathematics conversion models U1......Un, generating the complete dome screen image.

The invention discloses a panorama video automatic stitching method based on SURF feature tracking matching. The method comprises the following steps: a first frame distinguishing type processing method, the first frame serving to select a video reference coordinate system, directly performing video fusion on successive frames; in accordance with the first frame of a video to be stitched, extracting SURF feature points, generating feature point description vectors; based on the Hash mapping and a barrel storage method, searching for similar SURF feature vector point symmetries, constituting a similar feature set; using the vector point symmetries in the similar SURF feature set, resolving an optimal data relational degree coordinate system; conducting dynamic weighted summation on coordinate-converted pixel values of the video frames to be stitched, implementing seamless stitching fusion of the video. According to the invention, the method can implements omnibearing, multi-visual angle, and stereoscopic video seamless stitching fusion, and not only overcomes traces, fuzziness and double image brought by image translation, rotation, zooming and radiation transformation, and also increases efficiency and accuracy in conducting image calibration based on feature matching.

The invention discloses a seamlessly-spliced standard LED (light emitting diode) unit board and an LED display device. The standard LED unit board comprises LED pixel points arranged in the mode of dot matrix; the shape of the regular dot matrix formed by arranging each LED pixel point is similar to the shape of the standard LED unit board; the regular dot matrix and the standard LED unit board are partially coincident and are fixedly installed on the standard LED unit board; the regular dot matrix is provided with a first coincident part and at least one edge part; the standard LED unit board is also provided with a second coincident part coincident with the first coincident part; the edge part is set into a row of LED pixel points; any LED pixel point of the edge part is fixedly installed on the standard LED unit board; and parts of LED pixel points are arranged out of the standard LED unit board. The standard LED unit board has the advantages of simple splicing structure, good splicing effect and good display effect and can be spliced seamlessly and display.

The invention provides a real-time digital surface model generation method, which takes the current frame image taken by a camera carried by an unmanned aerial vehicle and the current frame feature points and point clouds outputted by the SLAM as input data, and generates a DSM in real-time. Firstly, the airborne camera captures the real-time surface image and processes it with real-time SLAM to obtain the feature points of the current frame and the constructed map point cloud; and the feature points of the current frame and the map point cloud are pretreated in advance; Secondly, the DSM texture and regular mesh of the current frame are generated. Finally, DSM texture and regular mesh fusion are carried out respectively. The invention can meet the real-time requirement, has the advantages of fast generation speed, small time complexity, low memory consumption, high robustness and precision, and good splicing effect.

The invention discloses a complex large-component robot surface scanning three-dimensional reconstruction method, and belongs to the technical field of three-dimensional topography measurement. The complex large-component robot surface scanning three-dimensional reconstruction method comprises the following steps of: firstly, carrying out region array three-dimensional morphology measurement by adopting a Gray code coded image combined with a phase-shift structured light coding method; secondly, combining an area array three-dimensional topography measurement system with an industrial robot, and performing system calibration; and finally, processing acquired point cloud data, and performing rough splicing and fine splicing processing. By means of the complex large-component robot surface scanning three-dimensional reconstruction method, high-speed and high-precision large object three-dimensional morphology measurement can be achieved.

The invention provides a real-time video stitching method based on specified tracking points. The video stitching method comprises the steps that some pixel points are directly selected from an image and used as tracking points, and the calculation time and effect of stitching are controlled by controlling the number of the tracking points and the distribution of the tracking points. Compared with the prior art, the real-time video stitching method based on the specified tracking points has the advantages that the feature point extraction process is omitted, some pixel points are directly extracted from the image to be used as the tracking pints, the number and the distribution of the tracking points can be controlled, and therefore the calculation time and effect can be controlled partially.

The invention discloses an unmanned aerial vehicle remote sensing image mosaic system based on an adjacent relation model, belonging to the field of remote sensing image mosaic technology of unmannedaerial vehicle. The adjacent distance is taken as the weight of the edge, the minimum spanning tree is used to determine the mosaic order, which can maximize the use of the clustering of adjacent images; after the mosaic order is determined, the images can be incrementally mosaic onto the cumulative results in order to complete the mosaic; the mapping between images can be replaced by a similaritytransformation or affine transformation; after the mosaic images are transformed, the images are processed by a Graph-Cut algorithm to solve the overlapping seams, then put the images together directly, the invention realizes a multi-view remote sensing image mosaic system of an unmanned aerial vehicle, and the matching precision and the splicing time are balanced, which can not only ensure the extraction of enough features, but also reduce the amount of calculation, improve the calculation speed, and make the color more natural and uniform. The system is simple in operation, practical, easyto operate, easy to maintain, and the whole process does not need manual intervention.

The invention discloses a machining process of hard veneers. After the hard veneers are softened and dried, wood becomes soft, so that veneer splicing machining is smoother and the splicing effect is better in veneer splicing and hotly pressing veneer laminating processes; in the hotly pressing veneer laminating process, a phenomenon that the veneers are foamed can be effectively avoided; an obtained veneer laminated product is subjected to fine machining including paint spraying, fabric process, package and the like to prepare a veneer laminated furniture product; and in a utilization period of positive and negative temperature difference, phenomena that the veneers are cracked and paint is delaminated can be effectively avoided.

The embodiment of the invention provides an image splicing method and device and a computer readable storage medium. The image at least comprises a first image and a second image, the image splicing method comprises the following steps: carrying out feature point detection and matching on a first image and a second image to be spliced, obtaining a plurality of feature point matching pairs, each feature point matching pair comprising a first feature point of the first image and a second feature point of the second image; dividing the first image into at least two first splicing areas, and calculating a first homography matrix of each first splicing area according to the feature point matching pair; dividing the first image into a plurality of first grids, and calculating a first grid homography matrix of each first grid of the first image according to at least one of the first homography matrixes of the at least two first splicing areas; and performing coordinate transformation on eachfirst grid in the first image according to the corresponding first grid homography matrix, and combining with a second image to form a spliced image.

The invention discloses an unmanned aerial vehicle image splicing method comprising the steps that SIFT feature matching pairs of images under matching photographed by an unmanned aerial vehicle are acquired so that the initial transformation parameters of other images under matching are obtained; supposing that the transformation parameters of the images are set as x, x refers to a column vector formed by eight independent parameters of a homographic matrix, T refers to transformation represented by x, X=(X<T><1>, X<T><2>,...,X<T><M>)<T>, and a target function E(X)=cE(oX<r>)+omega(EX)r is defined, wherein omega refers to constant weight, Ecor(x) refers to the corresponding energy term based on feature points and Erig(x) refers to the bound term of the transformation parameters x; the features of the SIFT feature matching pairs are correspondingly substituted in the target function, and optimization is performed by using an LM algorithm; and fusion processing is performed on the transformed images. According to the unmanned aerial vehicle image splicing method, all the transformation parameters are maintained to be rigid transformation as much as possible so that the splicing result is enabled not to have global deformation, each image is enabled to maintain the original shape, the global deformation of the outputted splicing image is enabled to be effectively controlled and the great splicing effect can be acquired with no requirement for parameter and attitude information of a camera.

The invention provides a method and a device for quickly splicing camera images. The method comprises steps: an image photographed by a standard camera is acquired as a standard image, and an image photographed by a target camera is acquired as a reference image; according to the position relationship between the standard camera and the target camera, a first predicted overlapped area is set on the standard image, and a second predicted overlapped area is set on the reference image; whether the first predicted overlapped area and the second predicted overlapped area are overlapped completely is judged; and when the first predicted overlapped area and the second predicted overlapped area are not overlapped completely, according to the actual overlapped condition between the first predicted overlapped area and the second predicted overlapped area, the adjustment direction of the target camera is determined. Thus, the splicing effects can be improved, the adjustment process is simplified, the adjustment times are reduced, and waste of manpower and material resources is avoided.

The invention provides a material splicing processing method and device, an electronic device and a storage medium. The method comprises the following steps: obtaining materials selected in a picture selection page by a user of the electronic device, the materials comprising videos or videos and pictures; according to the content included in the materials, generating a material display area block corresponding to the materials; according the quantity of the materials, obtaining a layout having the same number of sub-display area block frameworks; carrying out setting on attributes of the material display area block according to attributes of the corresponding sub-display area block frameworks to enable the material display area block to realize display in the corresponding sub-display area block framework; and calling a video player to play a video display area block in the corresponding sub-display area block framework. The video display area block can be identified and the video display area block can be played through the corresponding video player, thereby realizing fusion splicing of the pictures and videos, expanding the type of materials which can be spliced, improving splicing efficiency and realizing a better splicing effect.

The invention relates to a panoramic image splicing method and device, a storage medium and a display method and system, and the method comprises the steps: collecting left and right side pavement scene images in a vehicle driving process through left and right side cameras assembled in a panoramic look-around system, and obtaining a panoramic image through the computer vision and image processingtechnology; analyzing and extracting lane line feature information in the left and right road surface images in real time, fitting lane lines of the left and right spliced block images, rotating thespliced image according to an included angle formed by the lane lines on the same side to enable the spliced image to be fitted into a curve, correcting the spliced block images according to the rotating angle, and splicing the panoramic image. The method has the advantages of being easy to implement, high in image splicing gap accuracy, prospective, high in real-time performance, high in practicability, stable, reliable, free of additional accessories and good in application value and economic benefit.

The invention relates to an artifact-removing image splicing method based on image depth layering. The method comprises the following steps: according to a depth image clustering result, carrying out quantization processing on a depth image of an unspliced image to obtain a depth image mask; classifying the feature points matched with the sift algorithm based on the depth map mask, and calculating respective transformation matrixes of the feature points of different categories; and according to the depth map mask, carrying out depth layering on the spliced image to obtain images of different depth levels, transforming the images of different depth levels by using respective transformation matrixes, and carrying out superposition on the transformed images from deep to shallow according to the depth levels to obtain a final spliced image.

The embodiment of the invention discloses a panorama abutted seam detection method and device. The method comprises the steps: obtaining a preset number of local images and initial panorama depth images photographed by panorama photographing equipment; splicing the preset number of local images into a panorama based on the initial panorama depth images; extracting a line graph used for representing preset lines from the panorama; determining splicing lines in the line graph, wherein the splicing lines are corresponding to a boundary line between two adjacent local graphs in the panorama; determining the proportion of the number of pixels with different colors to the total number of pixels on the two sides of the splicing lines in each row of pixels on the two sides of the splicing lines; and in response to determining that the specific gravity meets a first preset condition, outputting information used for representing that the abutted seam in the panorama is too large. According to the embodiment of the invention, effective detection on the abutted seam in the panorama containing the three-dimensional information is realized, and the splicing effect of the panorama an be improvedaccording to the abutted seam detection result.