182 results about "Image translation" patented technology

A device for determining the longitudinal and angular position of a rotationally symmetrical apparatus when guided inside a longitudinal element surrounding the same, including an imaging optical navigation sensor that measures the motion of the underlying surface by comparing successive images, and translates this image translation into a measurement of the longitudinal and rotational motion of the instrument. Features of the captured image are used to identify the insertion or withdrawal of the instrument, and to identify specific areas of the moving surface passing underneath the sensor, therefore allowing to establish the absolute position of the instrument, or to identify which instrument was inserted or in what cavity a tracking instrument was inserted. The device comprises a light source and a light detector. Light emitted by said light source is directed onto a surface of the rotationally symmetrical apparatus. Reflected light from said surface is detected by said light detector to produce a position signal showing a locally varying distribution in the longitudinal direction and in the peripheral direction to enable said precise position and angular measurement.

Techniques are described for online real time text to image translation suitable for virtually any submitted query. Semantic classes and associated analogous items for each of the semantic classes are determined for the submitted query. One or more requests are formulated that are associated with analogous items. The requests are used to obtain web based images and associated surrounding text. The web based images are used to obtain associated near-duplicate images. The surrounding text of images is analyzed to create high-quality text associated with each semantic class of the submitted query. One or more query dependent classifiers are trained online in real time to remove noisy images. A scoring function is used to score the images. The images with the highest score are returned as a query response.

A method for eliminating a seam between adjoined screens includes step A: acquiring an original image and adapting the acquired image to an image translation in subsequent step B; step B: translating the acquired image toward the position of the seam; and step C: reverting the translated image to the original one. An apparatus for eliminating a seam between adjoined screens includes an image acquisition module, an image translation module and an image reversion module. The image acquisition module is configured for acquiring an original image and transmitting the acquired image to the image translation module. The image translation module is configured for translating the received image toward the position of the seam so as to cover the seam by the translated image. The image reversion module is configured for receiving the translated image from the image translation module and reverting the image to the original one.

The invention discloses a single-image blind motion blur removing method based on a multi-scale residual generative adversarial network. The method comprises the following steps: acquiring a GoPRo paired data set, and connecting the GoPRo paired data set to form an image pair in a fuzzy-clear form; randomly cutting the training image into an image patch with the size of 256 * 256; taking the standardized image as model training input data; designing a convolutional neural network, and outputting a deblurred image; calculating the peak signal-to-noise ratio and structural similarity of the output information of the model and the clear image of the corresponding label, and performing loss optimization; and deblurring a picture with a motion blur scene in reality by using the optimized modelparameters to obtain a corresponding clear picture. Based on the convolutional neural network, the conditional generative adversarial network is adopted as a backbone network, and the fine-grained residual module is adopted as a main body module, so that the breakthrough of converting an image deblurring problem into an image translation problem and solving the image deblurring problem is realized, and important technical support is provided for subsequent operation of image deblurring.

An object of the present invention is to provide a driving assistance system capable of displaying a picked-up image near a vehicle as a less-distorted image on a monitor.

A driving assistance system according to the present invention comprises an imaging means (2) for picking up a surrounding image of a vehicle (1) on a road surface, an image translating means (3) for executing an image translation by using a three-dimensional projection model (300), which is convex toward a road surface side and whose height from the road surface is not changed within a predetermined range from a top end portion of the vehicle (1) in a traveling direction, to translate the image picked up by the imaging means (2) into an image viewed from a virtual camera (2a), and a displaying means (4) for displaying an image translated by the image translating means (3). The three-dimensional projection model (300) is configured by a cylindrical surface model (301) that is convex toward the road surface side, and a spherical surface model (302) connected to an end portion of the cylindrical surface model (301). Accordingly, the straight line on the road surface, which is in parallel with the center axis of the cylindrical surface model (301), is displayed as the straight line, and thus a clear and less-distorted screen can be provided to the driver.

Systems, apparatuses, and methods for an image translation device are described herein. The image translation device may include a navigation sensor defining a sensor coordinate system askew to a body coordinate system defined by a body of the image translation device. Other embodiments may be described and claimed.

The invention provides a mobile terminal and a method for displaying images, wherein the mobile terminal stores a first image, the display area of the first image is larger than the area of a display region, and the mobile terminal comprises a spatial displacement sensing unit, an actuating unit, an image acquisition unit and a display unit, wherein the spatial displacement sensing unit is used for obtaining spatial position adjustment parameters; the actuating unit is used for obtaining image translation parameters correspondingly according to the spatial position adjustment parameters; the image acquisition unit is used for acquiring a second image, the second image is the part for constituting the first image, the area of the second image is equal to the area of the display region, and a third image is obtained according to the image translation parameters and the relative position between the translation display region and the first image; and the display unit is used for displaying the second image and displaying the third image. The embodiment of the invention has the following benefits: a user can conveniently and rapidly browse information of the image out of the display region without a touch screen and buttons.

The invention discloses a robust digital image adaptive zero-watermarking method. The method mainly comprises two parts, namely zero-watermark embedding and zero-watermark detection, wherein both the zero-watermark embedding and the zero-watermark detection are performed in a composite domain of discrete wavelet transform and discrete fourier transform; the characteristics of high stability of a wavelet approximation subgraph obtained by the discrete wavelet transform and translation invariance of an amplitude spectrum obtained by the discrete fourier transform are fully utilized, so that the method has high robustness, can resist common image processing and is completely immune from image translation attack; meanwhile, because a binary digital watermark is not embedded into the original digital image but is registered into a watermark database, no damage is caused to the original digital image data, the problem of quality reduction of the image does not exist, the embedded binary digital watermark is completely imperceptible, and the contradiction between the robustness and the imperceptibleness of the digital watermark can be balanced well.

A video display pipe used for processing pixels of video and/or image frames may include edge Alpha registers for storing edge Alpha values corresponding to the edges of an image to be translated across a display screen. The edge Alpha values may be specified based on the fractional pixel value by which the image is to be moved in the current frame. The video pipe may copy the column and row of pixels that are in the direction of travel, and may apply the edge Alpha values to the copied column and row. The edge Alpha values may control blending of the additional column and row of the translated image with the adjacent pixels in the original frame, providing the effect of the partial pixel movement, simulating a sub-pixel rate of movement.

An image fusion method for an airborne optoelectronic pod comprises steps as follows: (1) adjusting the optical axis of a visible light imaging system and the optical axis of an infrared imaging system to be in a parallel state; (2) performing linkage zoom calculation with the focal length of the visible light imaging system serving as the reference to acquire the corresponding focusing length of the infrared imaging system; (3) calculating respective optical amplification multiples according to the focusing length of the visible light imaging system and the focusing length of the infrared imaging system, performing image scaling, calculating deviation angles according to positions of focusing length sections where the focusing lengths are located, and performing image translation compensation; (4) fusing images of the visible light imaging system and the infrared imaging system after image registration. With the adoption of the method, the visible light imaging system and the infrared imaging system in the pod are associated, infrared image features of targets and visible light image features are fused into one way of image video to be output, and the requirement of the optoelectronic pod for all-weather day-and-light reconnaissance is met to the greatest extent.

The invention discloses an image translation system and method. The method comprises, firstly, identifying texts in test images through a character identification technology, then language-detecting the identified texts through a language detecting technology, then further optimizing the language detecting results through auxiliary information such as geographic information to determine the source language of the text image, and lastly, translating the texts into a target language through a machine translation technology. During the entire process, a user just needs to input the text images into the image translation system to obtain final translation results and the source language information of the text images.

The invention discloses an intelligent image modification method based on asymmetric loop generation and loss resistance, which applies the idea of loop consistency in CycleGAN used for image translation to the field of intelligent image modification, proposes asymmetric loop generation and loss resistance, and applies wGAN to the training of loop generation and loss resistance network. The invention also discloses an intelligent image modification method based on asymmetric loop generation and loss resistance. The invention uses four sub-networks to form a whole network structure, and utilizes asymmetrical loop generation to antagonize the loss to train, and finally the forward generator can improve the color, brightness, portrait effect and other multi-characteristics of the untrimmed image, and improve the visual feeling of the image.

Provided is an image translation updating display method and system. The method comprises the following steps of obtaining public image data from a first internal memory and copying the public image data to a second internal memory, wherein the first internal memory is used for keeping complete image data, the public image data are image data in a same area before and after image translation updating in the first internal memory; drawing changing image data in a third internal memory, wherein the changing image data are image data in a changing area before and after image translation updating in the first internal memory; copying image data in the second internal memory and the third internal memory to the first internal memory; and displaying the image data in the first internal memory. By means of calculation of the image translation updating display method and system, processed data quantity needed by translation operation each time can be effectively reduced, translation operation speed is quickened, and display efficiency of map translation can be improved.

The invention discloses a style character generation method based on a small number of samples and containing various normalization processing. A style reference character data set is formed by usinga plurality of style characters; a plurality of standard font characters with the same content are used as a character content prototype data source; an image translation model which is based on a deep generative adversarial network and comprises a mixer and multiple normalization modes is used, an adversarial loss function provided by the patent is used in training, and finally, a character generation model which is used for character style migration and contains multiple normalization processing can be trained. According to the fully trained model, any character with the same writing or printing style can be generated by taking a small number of or even one character with the same style as a style reference template, and the content of the generated character is determined by an input content prototype with a standard style.

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 puts forward an instance level image translation technology based on a deep attention generative adversarial network. The main content of the technology comprises a network module, an instance level image translation, collection level image translation and an integral target function. The technology comprises the following steps that: firstly, using a deep attention coder, a generator and two descriminators to construct the deep attention generative adversarial network; then, according to a given input image, adopting a positioning function to predict the position of the attention area and calculate an attention mask; then, utilizing the generator to receive a structured expression from a latent space, and generating a translation sample; and finally, using the descriminatorsto discriminate the translated sample from a real image. The invention puts forward the instance level image translation technology based on the deep attention generative adversarial network, can besimultaneously applied to instance level and collection level constraints, solves a great quantity of practical tasks and can obtain an effect of better performance.

The invention discloses a thermal-infrared band data automatic disposal method of multi-source polar orbit meteorological satellite with radiating assimilation subcourse and geometrical assimilation subcourse, which is characterized by the following: scaling the primitive data by radiation then correcting through satellite zenith angle; finishing radiation assimilation after correcting corresponding channel difference; accomplishing geometrical assimilation through distinguishability normalization, standard space projection transformation and image translation; finishing self-judgment of the same name pixel point through relative matching; reaching direct comparison of different satellite detecting radiation values without artificial operation; improving the precision of geometrical position for multi-source data; paving the base of data disposal and appliance of polar orbit satellite remote sensing data.

The invention relates to an iris recognize method, which comprises: normalizing the positioned iris pattern into image matrix m; then shearing out the part matrix M with import pattern character in m, to be histogram balanced to obtain the image strengthen matrix N; dividing matrix N to calculate average value; then connecting the average values end-to-end to form character signal f (x); using first-order derivative of gauss function as small wave to coil the f (x) while the size factor S=1, 2, to obtain vectors t1 and t2; connecting t1 and t2 end-to-end, to form vector v; in the vector v, processing local model maximum checking, to obtain iris pattern character code binary valued vector V used to match and recognize; then comparing the Haiming distance between character codes V1 and V2 of two iris patterns, if it is lower than threshold value T, said two iris pattens are matched; or else, they are not matched. The invention can overcome the patter deformation; image translation and rotation caused by zoom pupil, with simplified calculation and improved recognize speed.

The invention discloses a signal-image translation method based on a generative adversarial network, and a device for realizing the translation method comprises a translation model ST, a discrimination model SD and a classification model SC, and comprises the following steps of (1) pre-training the translation model and the classification model until the number of iterations reaches a set value; (2) inputting the real color image and a signal image obtained by the translation model into a discrimination model for confrontation training, and training parameters of the discrimination model; (3)inputting a signal image obtained by the translation model into a discrimination model for confrontation training, and training parameters of the translation model; (4) collaboratively training parameters of the translation model and the classification network; (5) repeating the steps (2) to (4) until the Nash equilibrium of the ST-SD reaches a preset number of training iterations; and (6) inputting the radio signal to be translated into the translation model to obtain a translated signal image. By utilizing the method, the diversity of translation results can be enhanced, and the security concealment of information transmission is ensured.

The invention relates to an ORB algorithm based multipath rapid video splicing algorithm with image registering and image fusion in parallel, and relates to the field of computer vision. The method comprises the steps that S1) a self-adaption based image registering model is established, and an optimal image translation parameter is calculated by self-adaption; S2) according to the optimal image translation parameter in S1) image fusion is carried out on overlapped areas of two frames of images on the basis of a fading-in and fading-out weighted average method, so that two object images are fused and spliced into a panorama image, and splicing of an object video is realized; and S3) a bilateral filter carry out de-noising on the panorama image obtained in the S2), and then a high-quality clear splicing image is output. The algorithm of the invention is high in calculation efficiency, low in computational complexity and fully satisfies the requirement for instantaneity.