531 results about "Image deformation" patented technology

The present invention provides a method for generating a high-resolution virtual-focal-plane image which is capable of generating a virtual-focal-plane image with an arbitrary desired resolution simply and rapidly by using multi-view images.

The method of the present invention comprises a disparity estimating process step for estimating disparities by performing the stereo matching for multi-view images consisting of multiple images with different capturing positions and obtaining a disparity image; a region selecting process step for selecting an image among multi-view images as a basis image, setting all remaining images as reference images, and selecting a predetermined region on the basis image as a region of interest; a virtual-focal-plane estimating process step for estimating a plane in the disparity space for the region of interest based on the disparity image, and setting the estimated plane as a virtual-focal-plane; and an image integrating process step for obtaining image deformation parameters used for deforming each reference image to the basis image for the virtual-focal-plane, and generating the virtual-focal-plane image by deforming multi-view images with obtained image deformation parameters.

Methods for determining a preferred application of a plurality of transducers or sensors to a structure are disclosed for monitoring and imaging deformation of the structure as it is subjected to various forces.

An image reconstruction algorithm begins with an initial acquisition of a preoperative imaging volume followed by a second imaging sequence subsequent to an applied deformation. A computational domain (model) is generated from the preoperative image series and boundary conditions are derived from a pre-post deformation comparison, as well as from information gathered from deformation source application (i.e., displacement and/or force). Using boundary conditions, a series of model-based image deformations is accomplished while varying model material properties. A calculation of a Jacobian matrix relating the change in regional mutual information is performed with respect to the change in material properties. Upon completion of this process, matrix regularization techniques are used to condition the system of equations and allow for inversion and subsequent delivery of model-property adjustments.

The invention discloses a generative adversarial network-based method for generating a picture of a pedestrian with an arbitrary pose. Only by inputting a character picture, the pose of the pedestrianin the picture and a thermodynamic image of a target transfer pose to a generator network, a picture of the same character with a previous target pose can be obtained. A pose attention mechanism is introduced in a generator of the method, and two different discriminators are adopted for performing appearance consistency and pose consistency discrimination, so that multiple complex conditions of image deformation, geometric conversion, visual angle shift and the like can be met. Moreover, end-to-end training can be realized. According to the method for generating the picture of the pedestrianwith the arbitrary pose, an innovation is performed based on an existing technical idea, and a novel structure is adopted for performing network model building, so that compared with a conventional method, the synthesized picture is realer and more natural, and high practical application values are achieved.

The invention provides a method for realizing zooming through a wide-angle photographing component and a long-focus photographing component. The method is applied to an electronic device provided with the wide-angle photographing component and the long-focus photographing component. The electronic device can control the photographing components and can respectively capture a wide-angle image and a long-focus image of the same scenic spot and can respectively perform exposure and white balance adjustment processing on the images so that the exposure and the white balance of the two images are enabled to be consistent; robust image matching operation is performed on the images so that the corresponding pixel points on the images are enabled to be mutually matched; and finally offset deformation is performed on the pixel points of the long-focus image according to the dense optical flow field of the offset of all the pixel points on the long-focus image acquired through the matching operation, and the pixel points are mutually matched with the corresponding pixel points on the wide-angle image and then the pixel points can be fused with the corresponding pixel values on the wide-angle image so that image deformation fusion processing can be completed, and accurate and clear optical zooming can be realized.

The invention discloses a mobile platform ground movement object detection method including the steps as follows: (1) respectively calculating SWIFT characteristic description of a (n-m)th frame image, an nth frame image and a (n+m)th frame image of an image sequence; (2) by taking the nth frame image as a reference, respectively registering the (n-m)th frame image and the (n+m)th frame image to obtain registration images; (3) respectively conducting space multiscale movement significance tests on the two registration images with the nth frame image; (4) calculating a difference absolute value image of the nth frame image and the (n-m)th frame registration image, and the difference absolute value image of the nth frame image and the (n+m)th frame registration image; (5) respectively calculating a difference image of the (n-m)th frame and the nth frame as well as a difference image of the nth frame and the (n+m)th frame; (6) mixing the two difference images to obtain a three-frame difference image and then conducting binaryzation; and (7) conducting morphological processing on a binary segmented image and then conducting region marking so as to obtain a final detection result image. The mobile platform ground movement object detection method solves the background compensation problem under the condition of a moving platform and has very good robustness on the light change and background interference in a scene as well as image deformation caused by platform movement.

A medical image analysis system, apparatus and storage medium are provided. The system includes an acquisition module, a region of interest determination module, and a deformation type determination module. The obtaining module is used for obtaining a sample image and an image to be tested. The region of interest determination module is configured to input the image to be tested to a first detection model, and determine at least one region of interest of the image to be tested, wherein the first detection model is a depth learning model. The deformation type determination module is configuredto input the at least one region of interest to a second detection model, wherein the second detection model is a depth learning model, and determine a deformation type of the image to be measured. The invention applies the depth convolution neural network to the image deformation type prediction, which consumes short time and has high accuracy.

The invention provides an AR or VR imaging method and glasses capable of being used for AR or VR in order to solve the technical problems that an existing AR imaging method and AR glasses images deform, the gravity center of the AR glasses are near the front, and a display screen is large. The glasses comprise a head-mounted support, a display unit arranged on the head-mounted support, a reflecting unit and a central beam splitter. The reflecting unit comprises a holophote, a Fresnel lens and cambered lenses which are arranged on a light path of the display unit. The cambered lenses are arranged in front of the eyes of a user; the holophote reflects VR split screen images and carries out secondary amplifying or shrinking, and imaging is carried out in the eyes of the user; the cambered lenses reflect the AR split screen images respectively and carry out secondary amplifying or shrinking, imaging is carried out in the eyes of the user, scenes in front of the eyes of the user are transmitted into the eyes of the user, and it is guaranteed that image deformation is small under the condition that the gravity center of the AR glasses is close to the forehead. A small focal distance is adopted, the height of a display screen is half of that in the prior art, and the load bearing feeling is small when the user wears the glasses.

In accordance with the teachings described herein, systems and methods are provided for contouring a set of medical images. An example system may include an image database, an image deformation engine and a contour transformation engine. The image database may be used to store a set of medical images. The image deformation engine may be configured to receive a source image and a target image from the set of medical images in the image database, and further configured to use a deformation algorithm with the source image and the target image to generate deformation field data that is indicative of changes between one or more objects from the source image to the target image. The contour transformation engine may be configured to receive source contour data that identifies the one or more objects within the source image, and further configured to use the deformation field data and the source contour data to generate automatic target contour data that identifies the one or more objects within the target image. The image deformation engine and the contour transformation engine may comprise software instructions stored in one or more memory devices and executable by one or more processors.

The invention discloses a high-resolution remote sensing image feature matching method. The method comprises the steps of extracting salient object regions on a reference image; extracting the SIFT feature points of the reference image and the SIFT feature points of an input image; searching for a plurality of candidate matching points for each SIFT feature point of the reference image from a SIFT feature point set of the input image; searching for optimal matching points for a SIFT feature point set in each salient object region of the reference image from a candidate matching point set composed of corresponding candidate matching points; obtaining an optimal matching point set of each salient object region, and using the union set of SIFT feature optimal matching point sets corresponding to each salient object region as a final feature matching set. According to the high-resolution remote sensing image feature matching method, matching is carried out based on the SIFT features in the salient object regions, a large amount of redundant information is filtered, and matching performance is improved; the number of exterior points is reduced, and robustness to change of view and image deformation is improved. The high-resolution remote sensing image feature matching method can be widely used in multiple application systems for image registration and three-dimensional reconstruction.

The present method relates to a method of geometric deformation of a seismic image for interpretation, comprising the steps of selecting a geologic layer represented in the seismic image; determining by stratigraphic modelling a mean topographic depositional surface for said layer; deforming the seismic image by displacing the traces by taking account of the modelled mean depositional surface, and carrying out a geologic interpretation of the image thus deformed.

The invention discloses a chip image collecting and locating device based on a rotary reflector, relating to an image collection device. The invention aims to solve the problems that image distortion and image deformation occur in the traditional chip motion image collection process, and the chip stops once in the process of moving to an appointed patching position based on a certain path to cause low work efficiency of mounting the chip. When the chip is mounted, a suction nozzle moves downwards firstly to an M position to suck the chip; a mobile motor reversely rotates, the suction nozzle carries the chip to move upwards to an N position, a mobile base drives a rack to move upwards when moving upwards, a gear drives a reflector component to rotate, the lateral end of the reflector component rotates from a point A to a point B, lights of a light source shines on the reflector, a camera obtains a static image of the chip through the reflector, the image is treated by a computer, and the position error of the chip relative to a center coordinate system of the suction nozzle is obtained; and the motor is started to rotate, the suction nozzle rotates, and correction of chip angle error is finished. The invention is used for mounting the chip.

The invention relates to an image deformation treatment method and a device, and the method comprises the steps: acquiring a to-be-treated image, identifying a facial image in the image and positioning the five sense organs datum points; acquiring a deformation template with configuration reference points and configuration datum points, determining present reference points corresponding to the configuration reference points in the five sense organs datum points and to-be-matched datum points corresponding to the configuration datum points; according to the positional relation of the configuration reference points and the configuration datum points and the positional relation of the present reference points and the to-be-matched datum points, performing the five sense organs similarity mapping to obtain target datum points corresponding to the configuration datum points in the to-be-treated image, and forming mapping point pairs by using target datum points and the corresponding to-be-matched datum points; according to the positional relation of the target datum points and the to-be-matched datum points in the mapping point pairs and the positional relation of the mapping points and to-be-treated image points, determining the mapping relation of the to-be-treated image points, mapping the to-be-treated image points to the corresponding target positions according to the mapping relation, and improving the matching degree of the deformed image and the target image.

Disclosed are systems for and methods of registering (i.e., aligning) a deformable image with a reference image subject to a spatially variant flexibility model and/or a non-Gaussian smoothing model. These systems and methods allow for the consideration of differences between the ways in which structures of interest may move within a patient. The registration includes modifying the deformable image to match similar features in the reference image. The systems include a deformation engine configured for performing a deformation algorithm subject to the spatially variant flexibility and/or smoothing models.

The invention relates to a device for measuring the impact transfer characteristic and the image deformation of a material and an implementing method thereof. The device comprises a gantry rack (1), a residual impact force receiving platform (2), a displacement sensing head (3), an impact head transmitter (4), an impact head (5), a signal acquisition analysis system (7) and an impact head lifting resetting mechanism (8); the displacement sensing head (3) is arranged on the impact head transmitter (4); the impact head (5) is respectively connected with the impact head lifting resetting mechanism (8) and the impact head transmitter (4); and the signal acquisition analysis system (7) is respectively connected with the residual impact force receiving platform (2), the displacement sensing head (3), the impact head transmitter (4), the impact head (5) and the impact head lifting resetting mechanism (8). Compared with the prior art, the device has the advantages of really acquiring the protection performance of the protection material when the protection material is impacted, simulating the actual stress condition of a human body under the stop action of the protection material and the like.

The invention discloses a fisheye image spread method based on radial characteristics. According to the method, radial distortion of an all-around fisheye image is merely considered, but tangential distortion is not considered. The method comprises the steps as follows: a long axis R and a short axis r of a transformed image are determined according to a structure of a shot image; then any row on a spread rectangular panoramic imaging corresponds to a radius on the all-around fisheye image, and a fisheye transformation formula is utilized to correct the distortion in a radial direction; and finally, a rectangular two-dimension panoramic imaging which is suitable for human eye browsing habits is output. The method disclosed by the invention prevents the problem of larger edge distortion of an original all-around image, eliminates radial distortion of the image, improves image quality and visual effect of a panoramic spread image, controls image deformation, and ensures the maximum utilization ratio of usable information simultaneously.

The embodiment of the invention provides an image data processing method and device and a computer readable storage medium. The method comprises the steps of acquiring deformation attributes of a source image and a target image , determining key pixel points associated with the deformation attributes of the target image from the source image, acquiring deformation information corresponding to thekey pixel points and determining a self-change domain according to the deformation information; converting the source image based on the self-changing domain to obtain a converted image; wherein the converted image is matched with the deformation attribute of the target image. By adopting the embodiment of the invention, the accuracy of image deformation can be improved so as to optimize the conversion quality of the image.

This invention discloses one two-dimensional bar image deformation correction method, which comprises the following steps: in read code image, finding images to get edit information from image finding function information area; according to edit information to get two-dimensional image space and to determine two-dimensional code image sample point coordinate; converting each data element in two-dimensional image into standard two-dimensional code image space data element.

The invention relates to a method for deforming a smart graph-driven grid image. In the method, global deformation parameters of the image are mapped to a two-dimensional grid to drive the grid to deform; the grid drives an embedded image of the grid to deform so as to solve the problems of non-accurate image deformations similar to cartoon animation deformations; and a user can quickly acquire an image deformation result through the interaction control of a control point on a smart graph. The method adopts a smart graph-based deformation driving template which has the characteristics of an embedded deformation rule and multi-component coordinative deformation, and can automatically generate appropriate grid driving parameters according to the global deformation parameters so as to generate a grid effect in real time. Besides, by performing cross regulation on different deformation weight coefficients, the method can control the deformation intensity. The method can acquire a two-dimensional grid deformation result of the embedded deformation rule at an interactive real-time speed, and can conveniently and quickly generate a deformation effect of a two-dimensional cartoon animation image by further solving the coordinate mapping and the gray mapping of an image pixel under grid driving.

The invention discloses energy-saving dimming glass which comprises a first matrix, a first bonding layer, a second matrix, a polymer dispersed liquid crystal layer and a third matrix, wherein the second matrix is a combination of one of a transparent glass layer or a hard film layer and a low-radiation glass layer, and the low-radiation glass layer is in contact and joint with the polymer dispersed liquid crystal layer. The energy-saving dimming glass adopts the one low-radiation glass layer to be also used as a layer electrode of the polymer dispersion liquid crystal layer, thereby avoiding the defects that the prior art needs to adopts two conductive glass layers as the electrode of the polymer dispersed liquid crystal layer and needs to add a sealed air film layer to carry out sealing, thereby causing the relatively low transmission of the energy-saving dimming glass and further easily causing the image deformation due to the different control of the uniformity of the thickness of the air film layer.

The invention provides a method and a system for quickly matching images on the basis of feature states and global consistency. The method includes utilizing detection angular points as to-be-matched feature points and identifying feature neighborhood states of the feature points by the aid of state templates; utilizing the feature points as centers and computing main directions of descriptors; turning the main directions, describing feature neighborhoods of the feature points, combining binary texture features and statistic features with one another and creating RBT-OGMH feature descriptors; matching the images for two types of different descriptors by the aid of different types of similarity measurement; quickly determining transformation matrixes by the aid of consistent features of spatial domains on the basis of error fluctuation amplitude minimization clustering, and eliminating error matching point pairs to obtain ultimate correct matching point pairs. According to the technical scheme, the method and the system have the advantages that the method and the system have rotational invariance and certain scale invariance, and problems of image blurring, illumination change, low contrast and image deformation can be effectively solved; the method and the system are high in matching speed and precision as compared with the prior art.