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.

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.

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 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 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 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 invention provides a 3D panorama image generating system and a method, wherein the system comprises an electronic control unit, a display unit and four cameras arranged at the front, the back, the left and the right of a vehicle. The method comprises the following steps: s11) calibrating the four cameras; s12) using the four cameras to acquire images; s13) establishing a three-dimensional curve-face model and performing triangular sectioning on the model; mapping the texture elements of the images and the position coordinates onto the three-dimensional curve-face model; and s14) outputting and displaying the 3D panorama images. According to the invention, through the four camera modules, the output of panorama images can be realized. The system is simple and can be mounted conveniently. The method is stable and easy to perform. With a fast running speed, the precision of the images is increased. The system and the method can be applied widely. With the system and the method, the computation amount can be reduced; and the costs of hardware and software can be reduced.

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.